From 9af5cf89517f689a630bf284426e0ed2524b8c1b Mon Sep 17 00:00:00 2001 From: lpm0073 Date: Wed, 28 Jun 2023 19:47:11 -0600 Subject: [PATCH] trouble shoot last barplot diagram --- jupyter-notebook/Random_Forest_Notebook.html | 18095 ++++++++++++++++ jupyter-notebook/Random_Forest_Notebook.ipynb | 101 +- 2 files changed, 18147 insertions(+), 49 deletions(-) create mode 100644 jupyter-notebook/Random_Forest_Notebook.html diff --git a/jupyter-notebook/Random_Forest_Notebook.html b/jupyter-notebook/Random_Forest_Notebook.html new file mode 100644 index 0000000..be56094 --- /dev/null +++ b/jupyter-notebook/Random_Forest_Notebook.html @@ -0,0 +1,18095 @@ + + + + + +Random_Forest_Notebook + + + + + + + + + + + + + + + + + + + + + +
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+ + + + + + + + + diff --git a/jupyter-notebook/Random_Forest_Notebook.ipynb b/jupyter-notebook/Random_Forest_Notebook.ipynb index 20b0f57..ca46ee4 100644 --- a/jupyter-notebook/Random_Forest_Notebook.ipynb +++ b/jupyter-notebook/Random_Forest_Notebook.ipynb @@ -101,35 +101,35 @@ "Requirement already satisfied: six>=1.5 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n", "Requirement already satisfied: numpy in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (1.23.5)\n", "Requirement already satisfied: matplotlib in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (3.7.0)\n", - "Requirement already satisfied: cycler>=0.10 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (0.11.0)\n", - "Requirement already satisfied: fonttools>=4.22.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (4.25.0)\n", - "Requirement already satisfied: pyparsing>=2.3.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (3.0.9)\n", - "Requirement already satisfied: packaging>=20.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (22.0)\n", "Requirement already satisfied: pillow>=6.2.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (9.4.0)\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.4.4)\n", "Requirement already satisfied: numpy>=1.20 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.23.5)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (4.25.0)\n", + "Requirement already satisfied: cycler>=0.10 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (0.11.0)\n", "Requirement already satisfied: contourpy>=1.0.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.0.5)\n", + "Requirement already satisfied: packaging>=20.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (22.0)\n", "Requirement already satisfied: python-dateutil>=2.7 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (3.0.9)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib) (1.4.4)\n", "Requirement already satisfied: six>=1.5 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n", "Requirement already satisfied: seaborn in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (0.12.2)\n", - "Requirement already satisfied: pandas>=0.25 in 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satisfied: pillow>=6.2.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.4.0)\n", "Requirement already satisfied: pyparsing>=2.3.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n", "Requirement already satisfied: packaging>=20.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (22.0)\n", - "Requirement already satisfied: cycler>=0.10 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.5)\n", "Requirement already satisfied: python-dateutil>=2.7 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n", - "Requirement already satisfied: pillow>=6.2.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.4.0)\n", + "Requirement already satisfied: cycler>=0.10 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.25.0)\n", "Requirement already satisfied: pytz>=2020.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from pandas>=0.25->seaborn) (2022.7)\n", "Requirement already satisfied: six>=1.5 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n", "Requirement already satisfied: scikit-learn in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (1.2.1)\n", - "Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (2.2.0)\n", - "Requirement already satisfied: numpy>=1.17.3 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (1.23.5)\n", "Requirement already satisfied: scipy>=1.3.2 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (1.10.0)\n", - "Requirement already satisfied: joblib>=1.1.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (1.1.1)\n" + "Requirement already satisfied: joblib>=1.1.1 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (1.1.1)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (2.2.0)\n", + "Requirement already satisfied: numpy>=1.17.3 in /Users/mcdaniel/anaconda3/lib/python3.10/site-packages (from scikit-learn) (1.23.5)\n" ] } ], @@ -1992,7 +1992,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 19, "id": "finite-kingston", "metadata": { "id": "finite-kingston" @@ -2000,7 +2000,7 @@ "outputs": [ { "data": { - "image/png": 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1NUpPT/cus9vt6tu3r3bs2CFJKi4uVlpammw2m3dMenq6Dhw4oMrKSkM1AAAAmrJdfEjLsdvtGjJkiM+yP/zhDzp06JAGDRqkPXv2yGKxaNWqVfrwww9ltVo1ZMgQTZw4UR07dlR5ebkkqVu3bj41unTpoqNHj0qSysvLlZSU1Gy9JB05csRQDX/ZbIHPp1ar5dwLy7mw2VI8tcPCgn6V12+eubflfWgt9Mo4emUcvTKHfhkXCr0KaoD6up07d2ratGm6/fbbNWzYMC1ZskRWq1VXX321li1bprKyMj333HPas2ePVq1apdraWklSeHi4T52IiAhVV1dLkurq6s67XpLq6+sN1fCH1WpRbGwHv7e/mDCrVTZbWMvV//KgtNujWuw9WsvlsA+thV4ZR6+Mo1fm0C/jgtmrkAlQ77//vh577DGlpKRowYIFkqS8vDzl5ubKbrdLkpKSkhQfH6/hw4fr008/VWRkpKRz9zF5XkvnglFU1LmmRkZGNrsZvL6+XpIUHR1tqIY/XC63HI6zfm9/IVdcEaaYmEg5XS41NjoDXt/D6XRJkhyOWu/rtiYszCq7PapN70NroVfG0Svj6JU59Mu4luqV3R5l+KxWSASo1atXa/78+crMzFR+fr73bJDFYvGGJw/P5bjy8nLvZbeKigr16NHDO6aiokLJycmSpISEBFVUVPjU8PzetWtXNTY2XrSGvxobA/8XwPsH65bcbnfA63t4ajudrhbZj9Z0OexDa6FXxtEr4+iVOfTLuGD2KugXWtesWaO5c+fqgQce0KJFi3wupU2ZMkWjR4/2Gf/pp59Kknr37q3k5GTFxMRo27Zt3vUOh0MlJSVKTU2VJKWlpWnnzp1yOr86W7N161b16tVLcXFxhmoAAAA0FdQAdeDAAT3zzDPKzMzU2LFjVVlZqePHj+v48eM6ffq07rnnHm3ZskVLly7VoUOH9MEHH2jatGm65557lJiYqPDwcOXk5Cg/P1+bN29WaWmpJk2apISEBGVmZkqSsrOzdebMGU2fPl379u3Thg0btGrVKo0dO1aSDNUAAABoKqiX8N577z198cUX2rRpU7NnLmVlZemXv/ylFi9erGXLlmnZsmXq2LGj7r33Xk2cONE7bsKECWpsbNSMGTNUV1entLQ0FRYWes9kxcXFacWKFZo/f76ysrIUHx+vqVOnKisry3ANAACApizulryRph1zOl06ebIm4HUjImyy26O0+LW/618VpwNe3+Pq+BhNHDFQVVU1bfZavM1mVWxshza9D62FXhlHr4yjV+bQL+NaqledO3cwfBN50O+BAgAAaGsIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASUEPUKdOndLMmTM1ePBgDRgwQPfff7+Ki4u963ft2qWcnBz1799fQ4cOVWFhoc/2LpdLS5YsUUZGhlJSUjRq1CiVlZX5jAlEDQAAAI+gB6jJkyfrk08+0YIFC/TGG2/ohhtu0OjRo7V//35VVVVp5MiR6tmzp4qKipSXl6fFixerqKjIu31BQYHWrl2refPmad26dbJYLBozZowaGhokKSA1AAAAmrIF883Lysq0ZcsWvfbaaxowYIAkafr06frwww/17rvvKjIyUuHh4Zo9e7ZsNpsSExNVVlam5cuXKzs7Ww0NDVq5cqUef/xxDRkyRJK0cOFCZWRkaNOmTbr77ru1fv36S64BAADQVFDPQMXGxuqVV17RjTfe6F1msVjkdrtVXV2t4uJipaWlyWb7Kuelp6frwIEDqqysVGlpqWpqapSenu5db7fb1bdvX+3YsUOSAlIDAACgqaCegbLb7d6zPh5/+MMfdOjQIQ0aNEgLFy5UUlKSz/ouXbpIko4cOaLy8nJJUrdu3ZqNOXr0qCSpvLz8kmv4y2YLfD61Wi3nXljOhc2W4qkdFhb0q7x+88y9Le9Da6FXxtEr4+iVOfTLuFDoVVAD1Nft3LlT06ZN0+23365hw4bp2WefVXh4uM+YiIgISVJ9fb1qa2sl6bxjqqurJUl1dXWXXMMfVqtFsbEd/N7+YsKsVtlsYS1X/8uD0m6ParH3aC2Xwz60FnplHL0yjl6ZQ7+MC2avQiZAvf/++3rssceUkpKiBQsWSJIiIyOb3chdX18vSYqOjlZkZKQkqaGhwfvaMyYqKipgNfzhcrnlcJz1e/sLueKKMMXERMrpcqmx0Rnw+h5Op0uS5HDUel+3NWFhVtntUW16H1oLvTKOXhlHr8yhX8a1VK/s9ijDZ7VCIkCtXr1a8+fPV2ZmpvLz871ngxISElRRUeEz1vN7165d1djY6F3Wo0cPnzHJyckBq+GvxsbA/wXw/sG6JbfbHfD6Hp7aTqerRfajNV0O+9Ba6JVx9Mo4emUO/TIumL0K+oXWNWvWaO7cuXrggQe0aNEin0tpaWlp2rlzp5zOr860bN26Vb169VJcXJySk5MVExOjbdu2edc7HA6VlJQoNTU1YDUAAACaCmqAOnDggJ555hllZmZq7Nixqqys1PHjx3X8+HGdPn1a2dnZOnPmjKZPn659+/Zpw4YNWrVqlcaOHSvp3H1LOTk5ys/P1+bNm1VaWqpJkyYpISFBmZmZkhSQGgAAAE35dQlvx44d6tu3rzp0aH6TtMPh0F//+ldDz09677339MUXX2jTpk3atGmTz7qsrCz98pe/1IoVKzR//nxlZWUpPj5eU6dOVVZWlnfchAkT1NjYqBkzZqiurk5paWkqLCz0nsmKi4u75BoAAABNWdx+3Ehz/fXXa926dbrpppuarfvb3/6mhx9+WP/4xz8CMsG2yul06eTJmoDXjYiwyW6P0uLX/q5/VZwOeH2Pq+NjNHHEQFVV1bTZa/E2m1WxsR3a9D60FnplHL0yjl6ZQ7+Ma6lede7cIfA3kT/xxBPe5yK53W7Nnj1bMTExzcYdPHhQV111ldGyAAAAbY7he6DuuOMOud1un09+eX73/FitVvXv31/PPvtsi0wWAAAgFBg+AzVs2DANGzZMkvTggw9q9uzZSkxMbLGJAQAAhCq/biL/3e9+F+h5AAAAtBl+Baja2lotW7ZMf/7zn1VbWyuXy/cGLovFovfffz8gEwQAAAg1fgWo+fPnq6ioSLfccouuv/56Wa1Bfx4nAABAq/ErQP3xj3/UpEmT9PDDDwd6PgAAACHPr1NHjY2N530GFAAAQHvgV4AaNGiQPvzww0DPBQAAoE3w6xLeXXfdpVmzZunkyZNKSUlRVFRUszH33Xffpc4NAAAgJPkVoCZOnChJ2rhxozZu3NhsvcViIUABAIDLll8BavPmzYGeBwAAQJvhV4C6+uqrAz0PAACANsOvAPXSSy9ddMzPf/5zf0oDAACEvIAHqJiYGHXp0oUABQAALlt+BajS0tJmy86ePaudO3dq9uzZevrppy95YgAAAKEqYN/BEh0drYyMDI0fP16/+tWvAlUWAAAg5AT8S+y6deum/fv3B7osAABAyPDrEt75uN1uHT16VMuXL+dTegAA4LLmV4BKTk6WxWI57zq3280lPAAAcFnzK0CNHz/+vAEqJiZGQ4cOVc+ePS91XgAAACHLrwCVl5cX6HkAAAC0GX7fA9XQ0KANGzZo27Ztcjgcio2NVWpqqrKyshQRERHIOQIAAIQUvwKUw+HQT3/6U5WWlupb3/qW4uPjdeDAAb377rv6/e9/rzVr1qhjx46BnisAAEBI8OsxBi+88ILKy8u1evVq/elPf9K6dev0pz/9SatXr1ZlZaUWL14c6HkCAACEDL8C1ObNmzVx4kSlpqb6LE9NTdWECRP0xz/+MSCTAwAACEV+Baiamhpdc8015113zTXX6NSpU5cyJwAAgJDmV4C69tpr9ec///m86zZv3qxvf/vblzQpAACAUObXTeSjR4/W5MmT1dDQoHvvvVdXXXWVTpw4oXfeeUevv/66Zs+eHeBpAgAAhA6/AtRdd92lgwcPatmyZXr99de9y6+44gqNHz9ew4cPD9gEAQAAQo1fAers2bMaN26ccnJy9PHHH6u6ulpHjx7V8OHD1alTp0DPEQAAIKSYugdq165duu+++/Tqq69Kkux2uwYPHqzBgwdr0aJFGjFihPbv398S8wQAAAgZhgPU4cOHlZubq+rqavXu3dtnXXh4uKZNm6aamhqNGDFC5eXlAZ8oAABAqDAcoF555RXFxsbqzTff1A9+8AOfdVFRUcrJyVFRUZGio6O1bNmygE8UAAAgVBgOUFu3btXPfvYzXXnllRccExcXp5EjR2rr1q2BmBsAAEBIMhygjh8/buj5TklJSVzCAwAAlzXDAapz586qqKi46LiTJ09+41kqAACAts5wgEpLS9OGDRsuOm7jxo26/vrrL2lSAAAAocxwgHrwwQe1bds2/fKXv1R9fX2z9Q0NDXruuef017/+VQ888EBAJwkAABBKDD9Is1+/fnrqqaf0zDPP6K233tJ3vvMdde/eXU6nU0eOHNG2bdtUVVWl//f//p8yMjJacs4AAABBZepJ5A888ICSk5NVWFiozZs3e89EdejQQYMGDdKoUaOUkpLSIhMFAAAIFaa/ymXgwIEaOHCgJKmqqkpWqzVgX99SUFCgrVu36ne/+5132VNPPdXs3quuXbvqww8/lCS5XC699NJLev311+VwODRw4EDNmjXL5xODu3bt0vz58/XPf/5TV155pR588EGNHj3au95IDQAAAA9TX+XydbGxsQELT6+++qqWLFnSbPnu3bv1yCOP6KOPPvL+bNy40bu+oKBAa9eu1bx587Ru3TpZLBaNGTNGDQ0Nks6FvJEjR6pnz54qKipSXl6eFi9erKKiIsM1AAAAmrqkABUIx44d089+9jMtXrxYvXr18lnndDq1b98+9evXT/Hx8d6fzp07Szp34/rKlSuVl5enIUOGKDk5WQsXLtSxY8e0adMmSdL69esVHh6u2bNnKzExUdnZ2crNzdXy5csN1wAAAGgq6AHqs88+U6dOnfT22283u3/q4MGDqq+vV2Ji4nm3LS0tVU1NjdLT073L7Ha7+vbtqx07dkiSiouLlZaWJpvtq6uV6enpOnDggCorKw3VAAAAaMr0PVCBNmzYMA0bNuy86/bs2SOLxaJVq1bpww8/lNVq1ZAhQzRx4kR17NjR+8Tzbt26+WzXpUsXHT16VJJUXl6upKSkZusl6ciRI4Zq+MtmC3w+tVot515YJIvFEvD6Hp7aYWFBz9h+88y9Le9Da6FXxtEr4+iVOfTLuFDoVdAD1DfZu3evrFarrr76ai1btkxlZWV67rnntGfPHq1atUq1tbWSpPDwcJ/tIiIiVF1dLUmqq6s773pJqq+vN1TDH1arRbGxHfze/mLCrFbZbGEtV//Lg9Juj2qx92gtl8M+tBZ6ZRy9Mo5emUO/jAtmr0I6QOXl5Sk3N1d2u13Sue/Zi4+P1/Dhw/Xpp58qMjJS0rn7mDyvpXPBKCrqXFMjIyOb3QzuefxCdHS0oRr+cLnccjjO+r39hVxxRZhiYiLldLnU2OgMeH0Pp9MlSXI4ar2v25qwMKvs9qg2vQ+thV4ZR6+Mo1fm0C/jWqpXdnuU4bNaIR2gLBaLNzx5eC7HlZeXey+7VVRUqEePHt4xFRUVSk5OliQlJCQ0+w4/z+9du3ZVY2PjRWv4q7Ex8H8BvH+wbsntdge8voenttPpapH9aE2Xwz60FnplHL0yjl6ZQ7+MC2avQvpC65QpU3ye1yRJn376qSSpd+/eSk5OVkxMjLZt2+Zd73A4VFJSotTUVEnnvsNv586dcjq/OluzdetW9erVS3FxcYZqAAAANBXSAeqee+7Rli1btHTpUh06dEgffPCBpk2bpnvuuUeJiYkKDw9XTk6O8vPztXnzZpWWlmrSpElKSEhQZmamJCk7O1tnzpzR9OnTtW/fPm3YsEGrVq3S2LFjJclQDQAAgKZC+hLebbfdpsWLF2vZsmVatmyZOnbsqHvvvVcTJ070jpkwYYIaGxs1Y8YM1dXVKS0tTYWFhd6bwuPi4rRixQrNnz9fWVlZio+P19SpU5WVlWW4BgAAQFMWd0veSNOOOZ0unTxZE/C6ERE22e1RWvza3/WvitMBr+9xdXyMJo4YqKqqmjZ7Ld5msyo2tkOb3ofWQq+Mo1fG0Stz6JdxLdWrzp07GL6JPKQv4QEAAIQiAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYFJIBaiCggI9+OCDPst27dqlnJwc9e/fX0OHDlVhYaHPepfLpSVLligjI0MpKSkaNWqUysrKAl4DAADAI2QC1KuvvqolS5b4LKuqqtLIkSPVs2dPFRUVKS8vT4sXL1ZRUZF3TEFBgdauXat58+Zp3bp1slgsGjNmjBoaGgJWAwAAoKmgB6hjx47pZz/7mRYvXqxevXr5rFu/fr3Cw8M1e/ZsJSYmKjs7W7m5uVq+fLkkqaGhQStXrlReXp6GDBmi5ORkLVy4UMeOHdOmTZsCVgMAAKCpoAeozz77TJ06ddLbb7+tlJQUn3XFxcVKS0uTzWbzLktPT9eBAwdUWVmp0tJS1dTUKD093bvebrerb9++2rFjR8BqAAAANGW7+JCWNWzYMA0bNuy868rLy5WUlOSzrEuXLpKkI0eOqLy8XJLUrVu3ZmOOHj0asBr+stkCn0+tVsu5FxbJYrEEvL6Hp3ZYWNAztt88c2/L+9Ba6JVx9Mo4emUO/TIuFHoV9AD1Terq6hQeHu6zLCIiQpJUX1+v2tpaSTrvmOrq6oDV8IfValFsbAe/t7+YMKtVNltYy9X/8qC026Na7D1ay+WwD62FXhlHr4yjV+bQL+OC2auQDlCRkZHNbuSur6+XJEVHRysyMlLSufuYPK89Y6KiogJWwx8ul1sOx1m/t7+QK64IU0xMpJwulxobnQGv7+F0uiRJDket93VbExZmld0e1ab3obXQK+PolXH0yhz6ZVxL9cpujzJ8ViukA1RCQoIqKip8lnl+79q1qxobG73LevTo4TMmOTk5YDX81dgY+L8A3j9Yt+R2uwNe38NT2+l0tch+tKbLYR9aC70yjl4ZR6/MoV/GBbNXIX2hNS0tTTt37pTT+dWZlq1bt6pXr16Ki4tTcnKyYmJitG3bNu96h8OhkpISpaamBqwGAABAUyEdoLKzs3XmzBlNnz5d+/bt04YNG7Rq1SqNHTtW0rn7lnJycpSfn6/NmzertLRUkyZNUkJCgjIzMwNWAwAAoKmQvoQXFxenFStWaP78+crKylJ8fLymTp2qrKws75gJEyaosbFRM2bMUF1dndLS0lRYWOi9KTwQNQAAAJqyuFvyRpp2zOl06eTJmoDXjYiwyW6P0uLX/q5/VZwOeH2Pq+NjNHHEQFVV1bTZa/E2m1WxsR3a9D60FnplHL0yjl6ZQ7+Ma6lede7cwfBN5CF9CQ8AACAUEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACa1iQD173//W3369Gn28/rrr0uSdu3apZycHPXv319Dhw5VYWGhz/Yul0tLlixRRkaGUlJSNGrUKJWVlfmMuVgNAAAAD1uwJ2DE7t27FRERoffff18Wi8W7vGPHjqqqqtLIkSP1/e9/X3PmzNHHH3+sOXPm6Morr1R2drYkqaCgQGvXrtWzzz6rrl276vnnn9eYMWP07rvvKjw83FANAAAAjzYRoPbs2aNevXqpS5cuzdatWrVK4eHhmj17tmw2mxITE1VWVqbly5crOztbDQ0NWrlypR5//HENGTJEkrRw4UJlZGRo06ZNuvvuu7V+/fpvrAEAANBUm7iEt3v3bvXu3fu864qLi5WWliab7assmJ6ergMHDqiyslKlpaWqqalRenq6d73dblffvn21Y8cOQzUAAACaajNnoOLj4zVixAgdPHhQ3/72tzVu3DhlZGSovLxcSUlJPuM9Z6qOHDmi8vJySVK3bt2ajTl69KgkXbRGXFycX/O22QKfT63WLy9hWuRzOTPQPLXDwtpExj4vz9zb8j60FnplHL0yjl6ZQ7+MC4VehXyAamho0MGDBxUVFaWpU6cqOjpab7/9tsaMGaPf/OY3qqurU3h4uM82ERERkqT6+nrV1tZK0nnHVFdXS9JFa/jDarUoNraDX9saEWa1ymYLa7n6Xx6UdntUi71Ha7kc9qG10Cvj6JVx9Moc+mVcMHsV8gEqPDxcO3bskM1m84acG2+8Ufv371dhYaEiIyPV0NDgs40n9ERHRysyMlLSuSDmee0ZExV1rvEXq+EPl8sth+OsX9t+kyuuCFNMTKScLpcaG50Br+/hdLokSQ5Hrfd1WxMWZpXdHtWm96G10Cvj6JVx9Moc+mVcS/XKbo8yfFYr5AOUdP4Qk5SUpI8++kgJCQmqqKjwWef5vWvXrmpsbPQu69Gjh8+Y5ORkSbpoDX81Ngb+L4D3D9Ytud3ugNf38NR2Ol0tsh+t6XLYh9ZCr4yjV8bRK3Pol3HB7FXIX2gtLS3VzTffrOLiYp/l//znP9W7d2+lpaVp586dcjq/OhuzdetW9erVS3FxcUpOTlZMTIy2bdvmXe9wOFRSUqLU1FRJumgNAACApkI+QCUlJem6667TnDlzVFxcrP379+vZZ5/Vxx9/rEceeUTZ2dk6c+aMpk+frn379mnDhg1atWqVxo4dK+ncJcCcnBzl5+dr8+bNKi0t1aRJk5SQkKDMzExJumgNAACApkL+Ep7VatWyZcuUn5+viRMnyuFwqG/fvvrNb36jPn36SJJWrFih+fPnKysrS/Hx8Zo6daqysrK8NSZMmKDGxkbNmDFDdXV1SktLU2Fhofeeqri4uIvWAAAA8LC4W/JGmnbM6XTp5MmagNeNiLDJbo/S4tf+rn9VnA54fY+r42M0ccRAVVXVtNlr8TabVbGxHdr0PrQWemUcvTKOXplDv4xrqV517tzB8E3kIX8JDwAAINQQoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhkC/YEAFwaq9Uiq9VySTXCwqw+/70Ql8stl8t9Se8FAJcDAhTQhlmtFl0ZG60wa2BOJtvtUd+43uly6VTVWUIUgHaPAAW0YVarRWFWq9b8zy5VnDzrdx2LxaKwMKucTpfc7vOHoy6dozXizutltVoIUADaPQIUcBmoOHlW/z5+xu/tLRaLbLYwNTY6LxigAABf4SZyAAAAkwhQAAAAJnEJDwDgt2/6FKjRT3cawSdAEWoIUAAAvxj9FOjFPt1pBJ8ARaghQAEA/HKxT4Ea+XSnEXwCFKGIAAUAuCQX+hQon+7E5YybyAEAAEwiQAEAAJhEgAIAADCJAPUll8ulJUuWKCMjQykpKRo1apTKysqCPS0AABCCCFBfKigo0Nq1azVv3jytW7dOFotFY8aMUUNDQ7CnBgAAQgwBSlJDQ4NWrlypvLw8DRkyRMnJyVq4cKGOHTumTZs2BXt6AAAgxBCgJJWWlqqmpkbp6eneZXa7XX379tWOHTuCODMAABCKeA6UpPLycklSt27dfJZ36dJFR48e9aum1WpR584dLnluX2f58hsTRv/HjXK24APlwr78aoZOnS79CcLBdjnsw8X87L5+LXo8SJfXMREI9OErLX38tbdjr73sZyB06hSlQD5i7EJfS3Q+BChJtbW1kqTw8HCf5REREaqurvar5rkn8Br/gzArJjr84oMCwHqRr2hoCy6HfbiY1joepPbRTyPow1f4/1FgtZf9DIRg9oo/JUmRkZGS1OyG8fr6ekVF8S8BAADgiwClry7dVVRU+CyvqKhQQkJCMKYEAABCGAFKUnJysmJiYrRt2zbvMofDoZKSEqWmpgZxZgAAIBRxD5TO3fuUk5Oj/Px8de7cWVdffbWef/55JSQkKDMzM9jTAwAAIYYA9aUJEyaosbFRM2bMUF1dndLS0lRYWNjsxnIAAACL2x3IDwACAABc/rgHCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJABViXC6XlixZooyMDKWkpGjUqFEqKyu74PiqqipNmTJFaWlpSktL09NPP62zZ8+24oyDx2yv3nzzTfXp06fZzzdtczkqKCjQgw8++I1j2vNx1ZSRXrXn4+rUqVOaOXOmBg8erAEDBuj+++9XcXHxBce35+PKbK/a83ElSZWVlXr88ceVnp6um2++WQ8//LD27dt3wfHBOLYIUCGmoKBAa9eu1bx587Ru3TpZLBaNGTNGDQ0N5x0/YcIEHT58WK+++qqWLFmiLVu2aM6cOa086+Aw26vdu3frlltu0UcffeTz071791aeefB4jpOLac/HlYfRXrXn42ry5Mn65JNPtGDBAr3xxhu64YYbNHr0aO3fv/+849vzcWW2V+35uJKkRx99VIcPH9by5cv1xhtvKDIyUrm5uaqtrT3v+KAcW26EjPr6evfNN9/sXrNmjXdZdXW1+6abbnK/++67zcb//e9/dyclJbn37dvnXfbXv/7V3adPH3d5eXmrzDlYzPbK7Xa7R44c6Z43b15rTTGklJeXu0ePHu3u37+/+84773Tn5ORccGx7Pq7cbnO9crvb73F18OBBd1JSknvnzp3eZS6Xy52ZmeletGhRs/Ht+bgy2yu3u/0eV263233y5En3pEmT3Hv27PEu27VrlzspKcn9ySefNBsfrGOLM1AhpLS0VDU1NUpPT/cus9vt6tu3r3bs2NFsfHFxseLj45WYmOhddsstt8hisWjnzp2tMudgMdsr6dy/6Hr37t1aUwwpn332mTp16qS3335bKSkp3zi2PR9XkrleSe33uIqNjdUrr7yiG2+80bvMYrHI7Xarurq62fj2fFyZ7ZXUfo8r6Vy/FixYoOuuu06SdOLECRUWFiohIeG8PQnWscWXCYeQ8vJySVK3bt18lnfp0kVHjx5tNv7YsWPNxoaHh+vKK6887/jLidlenTx5UidOnNCOHTv0u9/9TqdOnVJKSooee+wx9erVq1XmHEzDhg3TsGHDDI1tz8eVZK5X7fm4stvtGjJkiM+yP/zhDzp06JAGDRrUbHx7Pq7M9qo9H1df9/TTT2v9+vUKDw/X0qVLFR0d3WxMsI4tzkCFEM+13fDwcJ/lERERqq+vP+/4r4/9pvGXE7O92rNnjyQpLCxMzz33nBYuXKizZ89qxIgROnHiRMtPuA1pz8eVWRxXX9m5c6emTZum22+//bwBlOPqKxfrFcfVVx566CEVFRXpRz/6kcaPH6/PPvus2ZhgHVsEqBASGRkpSc1ugq6vr1dUVNR5x5/vhun6+vrzpvTLidlepaena/v27Xruued0ww03KC0tTS+//LJcLpc2bNjQKnNuK9rzcWUWx9U577//vkaPHq2bbrpJCxYsOO8YjqtzjPSK4+orvXv31o033qi5c+eqe/fuWr16dbMxwTq2CFAhxHMKsqKiwmd5RUWFEhISmo1PSEhoNrahoUGnTp1S165dW26iIcBsrySpU6dOPr9HR0ere/fuOnbsWMtMso1qz8eVP9r7cbV69Wrl5eVp8ODBWr58ufcfN1/HcWW8V1L7Pq4qKyv17rvvyul0epdZrVYlJiY2O4ak4B1bBKgQkpycrJiYGG3bts27zOFwqKSkRKmpqc3Gp6Wlqby83Oe5IJ5tBwwY0PITDiKzvVqzZo1uvfVW1dXVeZedOXNGBw8ebLc3al5Iez6uzGrvx9WaNWs0d+5cPfDAA1q0aNF5L6N4tPfjykyv2vtxVVFRoSlTpmj79u3eZV988YVKSkp8bhT3CNaxRYAKIeHh4crJyVF+fr42b96s0tJSTZo0SQkJCcrMzJTT6dTx48e9f6lSUlI0YMAATZo0Sf/4xz/0t7/9TbNmzdJ999132f+LzmyvbrvtNrndbk2dOlV79+7Vp59+qry8PHXu3FlZWVlB3pvg4rgyjuPqKwcOHNAzzzyjzMxMjR07VpWVlTp+/LiOHz+u06dPc1w1YbZX7fm4ks79A3nQoEGaM2eOiouLtWfPHj3xxBNyOBzKzc0NnWOrxR6QAL80Nja6f/WrX7nT09Pd/fv3d48ZM8Z9+PBht9vtdh8+fNidlJTkLioq8o4/ceKEOy8vz92/f3/3rbfe6p41a5a7rq4uWNNvVWZ7VVJS4h41apR74MCB7gEDBrjz8vLcR44cCdb0g+aJJ57webYRx9WFGelVez2uli5d6k5KSjrvzxNPPMFx1YQ/vWqvx5WHw+Fwz5o1y/29733PfdNNN7lHjRrlfS5UqBxbFrfb7W65eAYAAHD54RIeAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCkC7cubMGT366KNKSUlRWlqaDh48GJC6L774ovr06fONY7Zt26Y+ffp4v2bCn20AhAZbsCcAAK1p48aN+tOf/qSZM2fquuuuU/fu3VvtvW+44QatW7euXXyfGXC5I0ABaFdOnTolSRoxYoQsFkurvndMTIz69+/fqu8JoGVwCQ9Aixo2bJiWLFmi5557Tt/97nd10003afTo0Tpw4IB3zJYtWzRixAgNHDhQt956q6ZMmaKjR4+afq/6+nq9/PLLuvPOO9WvXz/94Ac/0CuvvCKXyyVJevDBB/Xiiy9KOveFpU8++aSp+v/1X/+lH//4x0pJSdHQoUP1/PPPq6GhwWfMX/7yF/3oRz9Sv379dMcdd2jjxo3edUYux61du1Z33HGHbrrpJuXk5OjIkSM+6zds2KC+ffvq9ddf16BBgzR48GDt3btXkvT+++/rxz/+sfr166fvfe97mjdvns6ePevd9sUXX1RmZqb+8pe/6N5779WNN96oO+64Q2+++aapPgAgQAFoBb/97W/1+eef69lnn9W8efP0z3/+0xte3nrrLY0aNUpdu3bVggUL9NRTT+n//u//NHz4cFVWVhp+D7fbrUceeUQrVqzQT37yEy1btkx33nmnFi1apFmzZkmSZs2apZ/85CeSpHXr1mncuHGG669du1aTJ0/W9ddfr5deekljx47VmjVrNHv2bJ9xM2fOVG5urpYuXaouXbroySefVGlpqaH3WL16tWbNmqWMjAwVFBQoJSVFTz/9dLNxTqdTy5Yt07x58zRx4kT17t1b77zzjsaPH69rr71WL7/8sn7+85/r7bff1rhx49T0K0+PHz+uX/ziF/rpT3+qV155Rd27d9eTTz6p/fv3G+4FAC7hAWgFdrtdBQUFCgsLkyQdOnRIL774oqqqqvT888/ru9/9rhYuXOgdP2DAAN11111auXKlHn/8cUPv8eGHH+p///d/9fzzz+tHP/qRJOl73/ueIiMjtXjxYj300EPq3bu3EhISJMnUpTSXy+U9ezN//nzv8vr6er355ps+Z6HmzZunwYMHS5KuueYa/eAHP9D27duVnJz8je/hdrtVUFCgO+64QzNmzJAkDRo0SGfOnNHatWubjX/kkUc0dOhQ77b5+fnKyMhQfn6+d0zPnj2Vm5urDz74wDu2trZW8+fP13e+8x3vmNtuu00ffPCBEhMTDfcEaO84AwWgxfXr188bniR5Q8zevXt1/Phx3XvvvT7je/TooZtvvtnUJ8+2b9+usLAw3XXXXT7LPWHqUj7FduDAAZ04cULf//73fZbn5ubqrbfeUnh4uHdZamqq9/U111wjSXI4HBd9j88//1yVlZW6/fbbfZb/8Ic/PO/4pKQkn23Ly8s1bNgwNTY2en/S0tIUExOjLVu2+GzbNDx6/iyaXuoDcHGcgQLQ4qKionx+t1rP/dvNE6quuuqqZttcddVVKikpMfwe1dXVio2Nlc3m+7+1+Ph4SdLp06dNzbkpz43ncXFxFx0bHR3tfe3Zz6aX0C6kurpaktS5c2ef5Z75f13TuXjmN2fOHM2ZM6fZ2IqKCp/fm/55mJkjgK8QoAAEzZVXXilJOnHiRLN1x48fV2xsrOFanTp1UlVVlRobG31ClCc8mKn1dXa7XZJ08uRJn+WnTp3SZ599FpBP1nnm9/X7vjzhyMj8pk6dqltuuaXZ+k6dOl3y/AD44hIegKAJDw9XfHy83nnnHZ/lhw8f1scff6wBAwYYrnXLLbfI6XTqv//7v32Wv/3225KkgQMH+j3Pa6+9VrGxsdq8ebPP8nfeeUdjxoxRfX2937U9evbsqW7duul//ud/fJb/+c9/NjS/uLg4/etf/1K/fv28PwkJCXrhhRdMnckDYAxnoAAEjcVi0eTJk/XUU09p0qRJuu+++1RVVaWXXnpJnTp10siRIw3XGjx4sG699VbNmjVLFRUV6tu3r7Zv367ly5crKyvrkh5eGRYWpry8PP3iF7/Q7NmzlZmZqYMHD2rRokW6//77m11284fFYtFjjz2mKVOmaMaMGbrzzjv18ccf67XXXjM0v0mTJmnmzJkKCwvTbbfdJofDoYKCAh07dkw33HDDJc8PgC8CFICg+vGPf6wOHTro17/+tcaPH6+YmBhlZGRo8uTJF7z/53wsFot+/etfa8mSJfrtb3+rkydPqnv37po0aZKpIHYhDzzwgKKjo1VYWKg33nhDXbt21ahRo/Twww9fcm2Pe+65R1arVQUFBXrrrbeUlJSkX/ziF5o8efJFt/3P//xPdejQQStWrNC6desUHR2tAQMGKD8/33szO4DAsbi5cxAAAMAUzkABCGlOp9PQJ8S+/uk7I1wul/cp5d8kLCys1b/2BUBoI0ABCGm5ubnavn37Rcft3r3bdO2XX35ZL7300kXH/fa3v9Wtt95quj6AyxeX8ACEtM8//1w1NTUXHdevXz/TtY8dO9bsGUnn06tXL8XExJiuD+DyRYACAAAwiedAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEz6/32uU9GHDOiXAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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" ] @@ -2016,7 +2016,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 20, "id": "Rd-seHBO-rtT", "metadata": { "id": "Rd-seHBO-rtT" @@ -2025,14 +2025,16 @@ { "data": { "text/plain": [ - "0 0.925624\n", - "1 0.044604\n", - "2 0.029166\n", - "3 0.000606\n", + "0 0.925624\n", + "1 0.044604\n", + "2 0.029166\n", + "3 0.000524\n", + "9 0.000055\n", + "10 0.000028\n", "Name: no_of_children, dtype: float64" ] }, - "execution_count": 26, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2055,7 +2057,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 21, "id": "necessary-employee", "metadata": { "id": "necessary-employee" @@ -2078,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 22, "id": "expensive-deposit", "metadata": { "id": "expensive-deposit" @@ -2102,7 +2104,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 23, "id": "2DpFp56Tvo3I", "metadata": { "id": "2DpFp56Tvo3I" @@ -2126,7 +2128,7 @@ "Name: arrival_month, dtype: float64" ] }, - "execution_count": 29, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2158,7 +2160,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 24, "id": "happy-collins", "metadata": { "id": "happy-collins" @@ -2182,7 +2184,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 25, "id": "wOeK2StJzykk", "metadata": { "id": "wOeK2StJzykk" @@ -2196,7 +2198,7 @@ "Name: booking_status, dtype: float64" ] }, - "execution_count": 31, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2227,7 +2229,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 26, "id": "voluntary-irish", "metadata": { "id": "voluntary-irish" @@ -2262,7 +2264,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 27, "id": "official-wyoming", "metadata": { "id": "official-wyoming" @@ -2319,7 +2321,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 28, "id": "animal-depth", "metadata": { "id": "animal-depth" @@ -2368,7 +2370,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 29, "id": "GjDZRQMWiCEs", "metadata": { "id": "GjDZRQMWiCEs" @@ -2394,7 +2396,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 30, "id": "aMUKgxiFryyN", "metadata": { "id": "aMUKgxiFryyN" @@ -2443,7 +2445,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 31, "id": "L2AteH8ru-Lm", "metadata": { "id": "L2AteH8ru-Lm" @@ -2488,7 +2490,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 32, "id": "j0UdS10Wvfqd", "metadata": { "id": "j0UdS10Wvfqd" @@ -2534,7 +2536,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 33, "id": "atomic-locator", "metadata": { "id": "atomic-locator" @@ -2593,7 +2595,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 34, "id": "durable-allergy", "metadata": { "id": "durable-allergy" @@ -2620,7 +2622,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 35, "id": "Xve9js0S5xPV", "metadata": { "id": "Xve9js0S5xPV" @@ -2633,7 +2635,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 36, "id": "ecological-principal", "metadata": { "id": "ecological-principal" @@ -2706,7 +2708,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 37, "id": "sx5AmqRM3Cxy", "metadata": { "id": "sx5AmqRM3Cxy" @@ -2768,7 +2770,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 38, "id": "bIsbmNYal1rj", "metadata": { "id": "bIsbmNYal1rj" @@ -2783,7 +2785,7 @@ "RandomForestClassifier(class_weight={0: 0.17, 1: 0.83}, random_state=1)" ] }, - "execution_count": 44, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2805,7 +2807,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 39, "id": "M6jrat9ko0LO", "metadata": { "id": "M6jrat9ko0LO" @@ -2855,7 +2857,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 40, "id": "2vMZodtJ1k4z", "metadata": { "id": "2vMZodtJ1k4z" @@ -2927,7 +2929,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 41, "id": "lknDAkbZSI6B", "metadata": { "id": "lknDAkbZSI6B" @@ -2936,17 +2938,18 @@ { "data": { "text/plain": [ - "
" + "" ] }, - "execution_count": 52, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" }, { "data": { + "image/png": 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -2962,7 +2965,7 @@ "\n", "plt.figure(figsize = (13, 13))\n", "\n", - "# sns.barplot(importance_df.Importance, importance_df.index)\n" + "sns.barplot(x=importance_df.Importance, y=importance_df.index)\n" ] }, {