Notebook.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uBajLXYrWBlo"
      },
      "source": [
        "Importing all the required packages"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "VgPd1fjcOKlg"
      },
      "outputs": [],
      "source": [
        "\n",
        "import pandas as pd\n",
        "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n",
        "import os\n",
        "import matplotlib.pyplot as plt\n",
        "from skimage.io import imread\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report,accuracy_score,confusion_matrix\n",
        "import pickle\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i8zhtW8yz34D"
      },
      "source": [
        "**NOTE** : Please enter Category Names same as folder name"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "umZtNj4CTllG",
        "outputId": "6bd8a057-f089-41e9-e55e-ef7d8fe47639"
      },
      "outputs": [],
      "source": [
        "image_folder = \"./datasets\"\n",
        "Categories=[f for f in os.listdir(image_folder) if os.path.isdir(os.path.join(image_folder, f))]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0wwiPscqYune"
      },
      "source": [
        "Loading all the images and creating a DataFrame\n",
        "\n",
        "If you have your images in your google drive, simply mount the google Drive and copy the path of the folder containing all the Category images and Change the datadir variable to that path"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "import re\n",
        "# Menggunakan regex untuk memuat file dengan ekstensi selain .png\n",
        "jpg_pattern = re.compile(r'.*\\.(jpg|jpeg)$', re.IGNORECASE)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "from skimage import io, transform\n",
        "import glob\n",
        "from skimage.feature import hog\n",
        "\n",
        "X = []\n",
        "y = []\n",
        "\n",
        "for label_id, label in enumerate(Categories):    \n",
        "    image_paths = glob.glob(os.path.join(image_folder, label, \"*\"))\n",
        "    image_paths = [image_path for image_path in image_paths if jpg_pattern.match(image_path)]\n",
        "    for image_path in image_paths:\n",
        "        image = io.imread(image_path)\n",
        "        image = transform.resize(image, (128, 128))  # Resizing gambar\n",
        "        fd = hog(image, orientations=8, pixels_per_cell=(16, 16), cells_per_block=(1, 1), visualize=False, \n",
        "                 block_norm='L2-Hys', channel_axis=-1 # Untuk RGB\n",
        "                 )\n",
        "        X.append(fd)\n",
        "        y.append(label_id)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gUp5FDqIY070"
      },
      "source": [
        "Splitting the data into training and testing data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jg3XHRP3OUyf",
        "outputId": "f9f0a456-8a4c-45e6-9b01-509d753139f2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Splitted Successfully\n"
          ]
        }
      ],
      "source": [
        "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.20,random_state=42,stratify=y)\n",
        "print('Splitted Successfully')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.metrics import classification_report\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "==============================\n",
            "SVM\n",
            "==============================\n",
            "Cross-validation scores: [0.37755102 0.43877551 0.47278912 0.4047619  0.40816327]\n",
            "Mean Accuracy: 0.42\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\OWNER\\AppData\\Local\\Temp\\ipykernel_30388\\516505178.py:26: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "  results_df = results_df.append({'Model': name, 'Mean Accuracy': mean_accuracy}, ignore_index=True)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "==============================\n",
            "SVM\n",
            "==============================\n",
            "Cross-validation scores: [0.37755102 0.43877551 0.47278912 0.4047619  0.40816327]\n",
            "Mean Accuracy: 0.42\n",
            "\n",
            "Classification Report for SVM on Test Data:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.33      0.22      0.26        37\n",
            "           1       0.58      0.31      0.40        36\n",
            "           2       0.46      0.68      0.55        37\n",
            "           3       0.49      0.64      0.56        39\n",
            "           4       0.43      0.46      0.44        39\n",
            "           5       0.31      0.29      0.30        34\n",
            "           6       0.29      0.38      0.33        37\n",
            "           7       0.43      0.29      0.34        35\n",
            "\n",
            "    accuracy                           0.41       294\n",
            "   macro avg       0.42      0.41      0.40       294\n",
            "weighted avg       0.42      0.41      0.40       294\n",
            "\n",
            "\n",
            "==============================\n",
            "Random Forest\n",
            "==============================\n",
            "Cross-validation scores: [0.35714286 0.46598639 0.52380952 0.36734694 0.39795918]\n",
            "Mean Accuracy: 0.42\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\OWNER\\AppData\\Local\\Temp\\ipykernel_30388\\516505178.py:26: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "  results_df = results_df.append({'Model': name, 'Mean Accuracy': mean_accuracy}, ignore_index=True)\n",
            "C:\\Users\\OWNER\\AppData\\Local\\Temp\\ipykernel_30388\\516505178.py:26: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "  results_df = results_df.append({'Model': name, 'Mean Accuracy': mean_accuracy}, ignore_index=True)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "==============================\n",
            "Random Forest\n",
            "==============================\n",
            "Cross-validation scores: [0.35714286 0.46598639 0.52380952 0.36734694 0.39795918]\n",
            "Mean Accuracy: 0.42\n",
            "\n",
            "Classification Report for Random Forest on Test Data:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.52      0.30      0.38        37\n",
            "           1       0.36      0.39      0.37        36\n",
            "           2       0.62      0.76      0.68        37\n",
            "           3       0.59      0.69      0.64        39\n",
            "           4       0.44      0.44      0.44        39\n",
            "           5       0.33      0.32      0.33        34\n",
            "           6       0.21      0.27      0.24        37\n",
            "           7       0.39      0.26      0.31        35\n",
            "\n",
            "    accuracy                           0.43       294\n",
            "   macro avg       0.43      0.43      0.42       294\n",
            "weighted avg       0.44      0.43      0.43       294\n",
            "\n",
            "\n",
            "==============================\n",
            "KNN\n",
            "==============================\n",
            "Cross-validation scores: [0.16326531 0.15646259 0.20068027 0.18367347 0.17346939]\n",
            "Mean Accuracy: 0.18\n",
            "\n",
            "==============================\n",
            "KNN\n",
            "==============================\n",
            "Cross-validation scores: [0.16326531 0.15646259 0.20068027 0.18367347 0.17346939]\n",
            "Mean Accuracy: 0.18\n",
            "\n",
            "Classification Report for KNN on Test Data:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.27      0.11      0.15        37\n",
            "           1       0.19      0.36      0.25        36\n",
            "           2       0.17      0.78      0.28        37\n",
            "           3       1.00      0.05      0.10        39\n",
            "           4       0.83      0.13      0.22        39\n",
            "           5       0.10      0.06      0.07        34\n",
            "           6       0.12      0.03      0.04        37\n",
            "           7       0.50      0.03      0.05        35\n",
            "\n",
            "    accuracy                           0.19       294\n",
            "   macro avg       0.40      0.19      0.15       294\n",
            "weighted avg       0.41      0.19      0.15       294\n",
            "\n",
            "\n",
            "==============================\n",
            "Naive Bayes\n",
            "==============================\n",
            "Cross-validation scores: [0.32993197 0.29591837 0.38435374 0.35034014 0.33333333]\n",
            "Mean Accuracy: 0.34\n",
            "\n",
            "==============================\n",
            "Naive Bayes\n",
            "==============================\n",
            "Cross-validation scores: [0.32993197 0.29591837 0.38435374 0.35034014 0.33333333]\n",
            "Mean Accuracy: 0.34\n",
            "\n",
            "Classification Report for Naive Bayes on Test Data:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.19      0.19      0.19        37\n",
            "           1       0.29      0.14      0.19        36\n",
            "           2       0.41      0.70      0.52        37\n",
            "           3       0.48      0.59      0.53        39\n",
            "           4       0.28      0.33      0.31        39\n",
            "           5       0.14      0.15      0.14        34\n",
            "           6       0.22      0.16      0.19        37\n",
            "           7       0.14      0.09      0.11        35\n",
            "\n",
            "    accuracy                           0.30       294\n",
            "   macro avg       0.27      0.29      0.27       294\n",
            "weighted avg       0.27      0.30      0.28       294\n",
            "\n",
            "\n",
            "Results DataFrame:\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\OWNER\\AppData\\Local\\Temp\\ipykernel_30388\\516505178.py:26: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "  results_df = results_df.append({'Model': name, 'Mean Accuracy': mean_accuracy}, ignore_index=True)\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>Mean Accuracy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>SVM</td>\n",
              "      <td>0.420408</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Random Forest</td>\n",
              "      <td>0.422449</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>KNN</td>\n",
              "      <td>0.175510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Naive Bayes</td>\n",
              "      <td>0.338776</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Model  Mean Accuracy\n",
              "0            SVM       0.420408\n",
              "1  Random Forest       0.422449\n",
              "2            KNN       0.175510\n",
              "3    Naive Bayes       0.338776"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Algoritma Klasifikasi\n",
        "svm_model = make_pipeline(StandardScaler(), SVC(kernel='rbf', probability=True))\n",
        "rf_model = RandomForestClassifier(n_estimators=100, random_state=42)\n",
        "knn_model = KNeighborsClassifier(n_neighbors=5)\n",
        "nb_model = GaussianNB()\n",
        "\n",
        "# List model\n",
        "models = {'SVM': svm_model, 'Random Forest': rf_model, 'KNN': knn_model, 'Naive Bayes': nb_model}\n",
        "\n",
        "# Inisialisasi DataFrame untuk menyimpan hasil\n",
        "results_df = pd.DataFrame(columns=['Model', 'Mean Accuracy'])\n",
        "\n",
        "# Cross-validation dan evaluasi\n",
        "for name, model in models.items():\n",
        "    scores = cross_val_score(model, X, y, cv=5)  # Cross-validation dengan 5 fold\n",
        "    mean_accuracy = np.mean(scores)\n",
        "    print(f\"\\n{30*'='}\\n{name}\\n{30*'='}\")\n",
        "    print(f\"Cross-validation scores: {scores}\")\n",
        "    print(f\"Mean Accuracy: {np.mean(scores):.2f}\")\n",
        "\n",
        "    # Latih model pada data latih dan evaluasi pada data uji\n",
        "    model.fit(X_train, y_train)\n",
        "    y_pred = model.predict(X_test)\n",
        "\n",
        "    # Tambahkan hasil ke DataFrame\n",
        "    results_df = results_df.append({'Model': name, 'Mean Accuracy': mean_accuracy}, ignore_index=True)\n",
        "\n",
        "    print(f\"\\n{30*'='}\\n{name}\\n{30*'='}\")\n",
        "    print(f\"Cross-validation scores: {scores}\")\n",
        "    print(f\"Mean Accuracy: {mean_accuracy:.2f}\")\n",
        "    print(f\"\\nClassification Report for {name} on Test Data:\")\n",
        "    print(classification_report(y_test, y_pred))\n",
        "\n",
        "# Tampilkan hasil dalam bentuk DataFrame\n",
        "print(\"\\nResults DataFrame:\")\n",
        "results_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n",
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hyperparameter Terbaik: {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 150}\n",
            "\n",
            "Classification Report for Random Forest on Test Data:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.35      0.24      0.29        37\n",
            "           1       0.40      0.33      0.36        36\n",
            "           2       0.58      0.78      0.67        37\n",
            "           3       0.56      0.69      0.62        39\n",
            "           4       0.49      0.56      0.52        39\n",
            "           5       0.38      0.32      0.35        34\n",
            "           6       0.20      0.24      0.22        37\n",
            "           7       0.41      0.26      0.32        35\n",
            "\n",
            "    accuracy                           0.44       294\n",
            "   macro avg       0.42      0.43      0.42       294\n",
            "weighted avg       0.42      0.44      0.42       294\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Parameter Grid untuk pencarian grid\n",
        "param_grid = {\n",
        "    'n_estimators': [50, 100, 150],\n",
        "    'max_depth': [None, 10, 20],\n",
        "    'min_samples_split': [2, 5, 10],\n",
        "    'min_samples_leaf': [1, 2, 4],\n",
        "    'max_features': ['auto', 'sqrt', 'log2']\n",
        "}\n",
        "\n",
        "# GridSearchCV\n",
        "cv_model = GridSearchCV(rf_model, param_grid, cv=5, scoring='accuracy')\n",
        "cv_model.fit(X_train, y_train)\n",
        "\n",
        "# Hasil Hyperparameter Terbaik\n",
        "best_params = cv_model.best_params_\n",
        "print(f\"Hyperparameter Terbaik: {best_params}\")\n",
        "\n",
        "# Evaluasi model pada data uji\n",
        "y_pred = cv_model.predict(X_test)\n",
        "print(\"\\nClassification Report for Random Forest on Test Data:\")\n",
        "print(classification_report(y_test, y_pred))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DIaIT2GlOvy6",
        "outputId": "47a22b93-17d2-4f2a-fb1f-a0e355551852"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The training of the model is started, please wait for while as it may take few minutes to complete\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "c:\\Users\\OWNER\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
            "  warn(\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_features=&#x27;auto&#x27;, min_samples_split=5,\n",
              "                       n_estimators=150, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_features=&#x27;auto&#x27;, min_samples_split=5,\n",
              "                       n_estimators=150, random_state=42)</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "RandomForestClassifier(max_features='auto', min_samples_split=5,\n",
              "                       n_estimators=150, random_state=42)"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "print(\"The training of the model is started, please wait for while as it may take few minutes to complete\")\n",
        "model=cv_model.best_estimator_\n",
        "model.fit(X_train,y_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VWKN2_4eZZmF"
      },
      "source": [
        "Predicting our testing data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h7qEbNLoSAcS",
        "outputId": "3c93b66c-9202-42ee-ae30-5cadea7f00ef"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The predicted Data is :\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "array([6, 3, 6, 2, 6, 2, 3, 6, 6, 0, 1, 5, 5, 1, 4, 6, 1, 2, 1, 2, 2, 7,\n",
              "       0, 0, 4, 4, 1, 1, 4, 0, 3, 2, 0, 0, 5, 4, 4, 4, 0, 5, 6, 2, 2, 6,\n",
              "       2, 4, 3, 4, 3, 2, 3, 6, 6, 3, 1, 2, 4, 3, 3, 6, 2, 3, 0, 6, 7, 0,\n",
              "       1, 2, 0, 6, 6, 2, 6, 6, 4, 4, 6, 3, 6, 4, 4, 0, 4, 5, 6, 4, 3, 7,\n",
              "       3, 3, 1, 6, 4, 0, 2, 7, 7, 2, 4, 6, 3, 2, 5, 2, 0, 4, 6, 4, 7, 1,\n",
              "       5, 3, 2, 3, 1, 4, 6, 3, 4, 4, 2, 2, 3, 2, 7, 6, 1, 7, 3, 4, 5, 7,\n",
              "       7, 5, 2, 2, 6, 6, 2, 1, 5, 4, 4, 6, 5, 3, 3, 4, 2, 6, 2, 3, 1, 3,\n",
              "       3, 6, 6, 7, 1, 2, 7, 1, 7, 4, 0, 2, 2, 3, 1, 5, 3, 2, 4, 2, 2, 4,\n",
              "       6, 0, 5, 2, 4, 5, 7, 3, 3, 1, 0, 2, 5, 4, 6, 3, 6, 1, 6, 3, 0, 1,\n",
              "       2, 7, 5, 2, 3, 1, 7, 2, 2, 5, 4, 1, 3, 3, 3, 6, 0, 2, 6, 6, 2, 6,\n",
              "       2, 2, 7, 5, 3, 5, 1, 3, 2, 3, 6, 5, 3, 1, 2, 5, 3, 4, 0, 6, 2, 3,\n",
              "       3, 4, 5, 3, 5, 0, 4, 7, 5, 7, 3, 5, 3, 0, 2, 1, 4, 1, 4, 1, 6, 7,\n",
              "       6, 2, 6, 4, 5, 5, 7, 4, 2, 7, 4, 1, 5, 1, 0, 4, 6, 0, 4, 2, 0, 0,\n",
              "       3, 3, 0, 1, 4, 3, 4, 5])"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_pred=model.predict(X_test)\n",
        "print(\"The predicted Data is :\")\n",
        "y_pred"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A4rMJQ0HSCgU",
        "outputId": "c5a922e2-4c75-4f95-96e3-bf9d6c9a7089"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The actual data is:\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "array([1, 3, 6, 6, 6, 2, 1, 1, 0, 6, 1, 5, 5, 4, 5, 4, 6, 2, 5, 1, 7, 7,\n",
              "       2, 0, 1, 4, 0, 6, 4, 7, 3, 2, 0, 3, 5, 7, 4, 1, 3, 6, 0, 2, 2, 0,\n",
              "       2, 2, 0, 4, 4, 2, 3, 0, 5, 0, 0, 2, 4, 7, 3, 6, 2, 3, 0, 1, 2, 0,\n",
              "       1, 7, 6, 0, 6, 2, 3, 3, 3, 6, 0, 4, 0, 1, 0, 7, 6, 5, 0, 3, 3, 7,\n",
              "       5, 0, 1, 4, 7, 1, 2, 7, 5, 7, 5, 0, 3, 5, 1, 6, 0, 0, 5, 4, 7, 1,\n",
              "       6, 3, 2, 4, 6, 0, 4, 3, 5, 4, 1, 5, 0, 2, 5, 6, 5, 7, 0, 4, 7, 4,\n",
              "       7, 5, 2, 2, 3, 5, 2, 3, 5, 4, 4, 1, 7, 3, 3, 4, 4, 6, 6, 3, 5, 0,\n",
              "       0, 7, 7, 4, 7, 6, 1, 1, 7, 4, 7, 2, 6, 3, 7, 5, 3, 2, 4, 2, 6, 4,\n",
              "       7, 0, 7, 2, 0, 5, 2, 7, 4, 4, 1, 5, 5, 6, 7, 3, 4, 1, 3, 6, 7, 1,\n",
              "       2, 0, 7, 2, 3, 1, 4, 1, 2, 6, 4, 1, 0, 4, 3, 1, 7, 2, 6, 6, 2, 6,\n",
              "       2, 5, 7, 1, 3, 1, 1, 3, 2, 3, 2, 2, 3, 2, 6, 6, 3, 5, 6, 3, 7, 5,\n",
              "       3, 4, 1, 3, 7, 5, 1, 5, 6, 6, 3, 1, 3, 6, 6, 3, 4, 6, 4, 0, 5, 3,\n",
              "       0, 2, 2, 4, 5, 1, 7, 4, 2, 4, 4, 0, 6, 1, 4, 6, 5, 0, 0, 5, 0, 1,\n",
              "       3, 7, 0, 1, 4, 7, 1, 5])"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "print(\"The actual data is:\")\n",
        "np.array(y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZwXKKc5FSFMf",
        "outputId": "d6c6e632-2585-4405-87b6-4b2321e41298"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.24      0.35      0.29        26\n",
            "           1       0.33      0.40      0.36        30\n",
            "           2       0.78      0.58      0.67        50\n",
            "           3       0.69      0.56      0.62        48\n",
            "           4       0.56      0.49      0.52        45\n",
            "           5       0.32      0.38      0.35        29\n",
            "           6       0.24      0.20      0.22        44\n",
            "           7       0.26      0.41      0.32        22\n",
            "\n",
            "    accuracy                           0.44       294\n",
            "   macro avg       0.43      0.42      0.42       294\n",
            "weighted avg       0.48      0.44      0.45       294\n",
            "\n",
            "The model is 43.53741496598639% accurate\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "array([[ 9,  3,  1,  2,  1,  1,  4,  5],\n",
              "       [ 4, 12,  1,  2,  2,  3,  4,  2],\n",
              "       [ 0,  3, 29,  0,  1,  5,  8,  4],\n",
              "       [ 8,  1,  0, 27,  5,  2,  1,  4],\n",
              "       [ 5,  5,  1,  2, 22,  4,  4,  2],\n",
              "       [ 0,  6,  1,  0,  0, 11,  6,  5],\n",
              "       [10,  5,  2,  5,  4,  5,  9,  4],\n",
              "       [ 1,  1,  2,  1,  4,  3,  1,  9]], dtype=int64)"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "print(classification_report(y_pred,y_test))\n",
        "print(f\"The model is {accuracy_score(y_pred,y_test)*100}% accurate\")\n",
        "confusion_matrix(y_pred,y_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B8rpwj-yX4hl"
      },
      "source": [
        "Using Pickle to save the model to disk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jf8xp5BYp_7E",
        "outputId": "bb161fc8-afc1-4f80-87a6-c4859708c0fc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Pickle is dumped successfully\n"
          ]
        }
      ],
      "source": [
        "pickle.dump(model,open('img_model.pkl','wb'))\n",
        "print(\"Pickle is dumped successfully\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D5j6KOPCZ8av"
      },
      "source": [
        "The Machine-Learning Based Model is Created Successfully. Now You can test for classification of any image which falls in the mentioned Categories\n",
        "\n",
        "Testing of model :"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "6MVmsPLdS6-X",
        "outputId": "56a836cf-2eca-4111-d585-34697dd71db5"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "kue_dadar_gulung = 2.1523809523809523%\n",
            "kue_kastengel = 3.722222222222222%\n",
            "kue_klepon = 2.0999999999999996%\n",
            "kue_lapis = 3.033333333333333%\n",
            "kue_lumpur = 2.5500000000000007%\n",
            "kue_putri_salju = 4.555555555555555%\n",
            "kue_risoles = 1.111111111111111%\n",
            "kue_serabi = 80.77539682539684%\n",
            "The predicted image is : kue_serabi\n"
          ]
        }
      ],
      "source": [
        "#print(os.path.abspath(os.getcwd()))\n",
        "model=pickle.load(open('img_model.pkl','rb'))\n",
        "\n",
        "url=input('Enter URL of Image')\n",
        "img=imread(url)\n",
        "plt.imshow(img)\n",
        "plt.show()\n",
        "image = io.imread(url)\n",
        "image = transform.resize(image, (128, 128))  # Resizing gambar\n",
        "fd = hog(image, orientations=8, pixels_per_cell=(16, 16), cells_per_block=(1, 1), visualize=False, \n",
        "         block_norm='L2-Hys', channel_axis=-1 # untuk RGB\n",
        "         ).reshape(1, -1)\n",
        "probability=model.predict_proba(fd)\n",
        "for ind,val in enumerate(Categories):\n",
        "  print(f'{val} = {probability[0][ind]*100}%')\n",
        "print(\"The predicted image is : \"+Categories[model.predict(fd)[0]])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fJ_t-zqIsTCA"
      },
      "source": [
        "This model learns from its mistake and rectifies them and does not repeat the same mistake again ;)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": []
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "authorship_tag": "ABX9TyNXoByyuzJc8pEa+Ia/zOiv",
      "include_colab_link": true,
      "mount_file_id": "1f0XtS7FMhgrj2FnqPssOI3tsovKoVeXM",
      "name": "Shanmukh-Classification.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.5"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}