monkeypox-study-two.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af5ba0f7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2c582d6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "from fastai.vision.models import vgg16_bn\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "61c147a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f5f88f83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43, 126)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_data = 'study-two-data'\n",
    "len(glob.glob1(path_data+'/monkeypox',\"*.jpg\")), len(glob.glob1(path_data+'/others',\"*.jpg\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "73c31bcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#    \n",
    "data = DataBlock(\n",
    "    blocks=(ImageBlock, CategoryBlock),\n",
    "    get_items=get_image_files,\n",
    "    splitter=RandomSplitter(valid_pct=0.2, seed=40),\n",
    "    get_y=parent_label,\n",
    "    item_tfms=[Resize(128, method='squish')], \n",
    "    batch_tfms=aug_transforms(mult=1, max_rotate = 45, max_zoom=1.02)\n",
    ")\n",
    "\n",
    "dls = data.dataloaders(path_data, batch_size=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7660751f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b23cf3b6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d3efc03d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dls.train.show_batch(max_n=8, nrows=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2dff2b81",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/irisgpfs/users/cvega/jupyter_env/lib/python3.8/site-packages/fastai/vision/learner.py:284: UserWarning: `cnn_learner` has been renamed to `vision_learner` -- please update your code\n",
      "  warn(\"`cnn_learner` has been renamed to `vision_learner` -- please update your code\")\n",
      "/mnt/irisgpfs/users/cvega/jupyter_env/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  warnings.warn(\n",
      "/mnt/irisgpfs/users/cvega/jupyter_env/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=VGG16_BN_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_BN_Weights.DEFAULT` to get the most up-to-date weights.\n",
      "  warnings.warn(msg)\n"
     ]
    },
    {
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       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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       "</style>\n"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
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     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>0</td>\n",
       "      <td>1.273015</td>\n",
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\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1.069510</td>\n",
       "      <td>0.792415</td>\n",
       "      <td>0.575758</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1.010890</td>\n",
       "      <td>0.974605</td>\n",
       "      <td>0.606061</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.934006</td>\n",
       "      <td>1.028025</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.874395</td>\n",
       "      <td>1.008275</td>\n",
       "      <td>0.484848</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.800512</td>\n",
       "      <td>1.071540</td>\n",
       "      <td>0.484848</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>0.790023</td>\n",
       "      <td>1.215229</td>\n",
       "      <td>0.484848</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.730818</td>\n",
       "      <td>1.352527</td>\n",
       "      <td>0.484848</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>0.729302</td>\n",
       "      <td>1.340288</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>0.697157</td>\n",
       "      <td>1.369186</td>\n",
       "      <td>0.424242</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>0.653861</td>\n",
       "      <td>1.350466</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>0.596387</td>\n",
       "      <td>1.337053</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>0.553816</td>\n",
       "      <td>1.623837</td>\n",
       "      <td>0.424242</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>0.517957</td>\n",
       "      <td>1.481924</td>\n",
       "      <td>0.424242</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>0.487389</td>\n",
       "      <td>1.117173</td>\n",
       "      <td>0.303030</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>0.461772</td>\n",
       "      <td>1.029402</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>0.432751</td>\n",
       "      <td>1.094848</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>0.405592</td>\n",
       "      <td>1.059340</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>0.375780</td>\n",
       "      <td>1.039790</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>0.333601</td>\n",
       "      <td>0.884806</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>0.323627</td>\n",
       "      <td>0.988074</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>0.311469</td>\n",
       "      <td>0.891226</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>0.341097</td>\n",
       "      <td>0.648103</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>0.322601</td>\n",
       "      <td>0.819287</td>\n",
       "      <td>0.303030</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>0.299099</td>\n",
       "      <td>0.861679</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>0.280955</td>\n",
       "      <td>0.666012</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>0.266620</td>\n",
       "      <td>0.814324</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>0.239955</td>\n",
       "      <td>0.750983</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>0.219661</td>\n",
       "      <td>0.735321</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>0.213463</td>\n",
       "      <td>0.636062</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>0.190477</td>\n",
       "      <td>0.655582</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>0.187865</td>\n",
       "      <td>0.368741</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>0.179794</td>\n",
       "      <td>0.419600</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.165340</td>\n",
       "      <td>0.648486</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>0.158993</td>\n",
       "      <td>0.829000</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>0.177003</td>\n",
       "      <td>0.902455</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>0.166791</td>\n",
       "      <td>0.966336</td>\n",
       "      <td>0.393939</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>0.163360</td>\n",
       "      <td>1.153000</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>0.153715</td>\n",
       "      <td>1.336338</td>\n",
       "      <td>0.212121</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>0.143642</td>\n",
       "      <td>0.773922</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>0.176986</td>\n",
       "      <td>0.456053</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>0.166014</td>\n",
       "      <td>0.430948</td>\n",
       "      <td>0.121212</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>0.152439</td>\n",
       "      <td>0.449510</td>\n",
       "      <td>0.121212</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>0.137919</td>\n",
       "      <td>0.541009</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>0.124570</td>\n",
       "      <td>0.562439</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>0.119945</td>\n",
       "      <td>0.673443</td>\n",
       "      <td>0.212121</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>0.113018</td>\n",
       "      <td>0.489706</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>0.099346</td>\n",
       "      <td>0.618181</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>0.089205</td>\n",
       "      <td>0.638701</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>0.085286</td>\n",
       "      <td>0.497584</td>\n",
       "      <td>0.151515</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>0.084476</td>\n",
       "      <td>0.355417</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>0.081865</td>\n",
       "      <td>0.389732</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>51</td>\n",
       "      <td>0.074407</td>\n",
       "      <td>0.391252</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>52</td>\n",
       "      <td>0.069176</td>\n",
       "      <td>0.393698</td>\n",
       "      <td>0.060606</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>53</td>\n",
       "      <td>0.062482</td>\n",
       "      <td>0.389724</td>\n",
       "      <td>0.060606</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>0.056144</td>\n",
       "      <td>0.362916</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>55</td>\n",
       "      <td>0.058736</td>\n",
       "      <td>0.366295</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>0.062678</td>\n",
       "      <td>0.382092</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>0.056838</td>\n",
       "      <td>0.381803</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>58</td>\n",
       "      <td>0.049974</td>\n",
       "      <td>0.386642</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>0.053852</td>\n",
       "      <td>0.387880</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>60</td>\n",
       "      <td>0.047595</td>\n",
       "      <td>0.372328</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>61</td>\n",
       "      <td>0.052224</td>\n",
       "      <td>0.393014</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>0.055291</td>\n",
       "      <td>0.393695</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>0.051821</td>\n",
       "      <td>0.413502</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>0.052471</td>\n",
       "      <td>0.419237</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>0.048662</td>\n",
       "      <td>0.404080</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>66</td>\n",
       "      <td>0.052681</td>\n",
       "      <td>0.415748</td>\n",
       "      <td>0.121212</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>0.051655</td>\n",
       "      <td>0.424296</td>\n",
       "      <td>0.121212</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>68</td>\n",
       "      <td>0.050819</td>\n",
       "      <td>0.422882</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>0.043948</td>\n",
       "      <td>0.402233</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>00:03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = cnn_learner(dls, vgg16_bn, metrics=error_rate, lr=0.001)\n",
    "model.fine_tune(70, cbs=[ShowGraphCallback()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9fb760d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    /* Turns off some styling */\n",
       "    progress {\n",
       "        /* gets rid of default border in Firefox and Opera. */\n",
       "        border: none;\n",
       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "        background-size: auto;\n",
       "    }\n",
       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
       "    }\n",
       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "        background: #F44336;\n",
       "    }\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    /* Turns off some styling */\n",
       "    progress {\n",
       "        /* gets rid of default border in Firefox and Opera. */\n",
       "        border: none;\n",
       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "        background-size: auto;\n",
       "    }\n",
       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
       "    }\n",
       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "        background: #F44336;\n",
       "    }\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "interp = ClassificationInterpretation.from_learner(model)\n",
    "interp.plot_confusion_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9c8c5ca1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    /* Turns off some styling */\n",
       "    progress {\n",
       "        /* gets rid of default border in Firefox and Opera. */\n",
       "        border: none;\n",
       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "        background-size: auto;\n",
       "    }\n",
       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
       "    }\n",
       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "        background: #F44336;\n",
       "    }\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "   monkeypox       0.75      0.86      0.80         7\n",
      "      others       0.96      0.92      0.94        26\n",
      "\n",
      "    accuracy                           0.91        33\n",
      "   macro avg       0.85      0.89      0.87        33\n",
      "weighted avg       0.92      0.91      0.91        33\n",
      "\n"
     ]
    }
   ],
   "source": [
    "interp.print_classification_report()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c00d20d4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16f40c92",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a9c36cf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "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": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}