monkeypox-study-one.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aec0170f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "from fastai.vision.models import vgg16_bn\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cc443b4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5985b63b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43, 47)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_data = 'study-one-data'\n",
    "len(glob.glob1(path_data+'/monkeypox',\"*.jpg\")), len(glob.glob1(path_data+'/chickenpox',\"*.jpg\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "435b90ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "#    \n",
    "data = DataBlock(\n",
    "    blocks=(ImageBlock, CategoryBlock),\n",
    "    get_items=get_image_files,\n",
    "    splitter=RandomSplitter(valid_pct=0.2, seed=39),\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": "2c49aef0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "246b3fd6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f6b31073",
   "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": 11,
   "id": "b4f010c7",
   "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"
     ]
    },
    {
     "data": {
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       "        /* 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",
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       "    .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"
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     "data": {
      "text/html": [
       "<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",
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       "      <td>0</td>\n",
       "      <td>1.688319</td>\n",
       "      <td>0.671239</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>00:01</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>0.747848</td>\n",
       "      <td>0.760798</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.798615</td>\n",
       "      <td>0.787881</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.756850</td>\n",
       "      <td>0.724197</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.700135</td>\n",
       "      <td>0.665362</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.662594</td>\n",
       "      <td>0.628831</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>0.626409</td>\n",
       "      <td>0.560304</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.600166</td>\n",
       "      <td>0.462887</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>0.553254</td>\n",
       "      <td>0.379203</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>0.506167</td>\n",
       "      <td>0.300030</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>0.493010</td>\n",
       "      <td>0.279661</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>0.452690</td>\n",
       "      <td>0.273343</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>0.438979</td>\n",
       "      <td>0.242013</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>0.435175</td>\n",
       "      <td>0.238129</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>0.414440</td>\n",
       "      <td>0.197424</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>0.381607</td>\n",
       "      <td>0.212407</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>0.359575</td>\n",
       "      <td>0.207352</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>0.349170</td>\n",
       "      <td>0.269913</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>0.343788</td>\n",
       "      <td>0.486138</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>0.324495</td>\n",
       "      <td>0.425858</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>0.296846</td>\n",
       "      <td>0.424414</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>0.292090</td>\n",
       "      <td>0.322207</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>0.271714</td>\n",
       "      <td>0.296991</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>0.257592</td>\n",
       "      <td>0.353663</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>0.251382</td>\n",
       "      <td>0.374799</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>0.255756</td>\n",
       "      <td>0.448524</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>0.240119</td>\n",
       "      <td>0.520435</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>0.227014</td>\n",
       "      <td>0.609421</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>0.216822</td>\n",
       "      <td>0.483913</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>0.200326</td>\n",
       "      <td>0.351302</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>0.188668</td>\n",
       "      <td>0.252317</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>0.190448</td>\n",
       "      <td>0.167661</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>0.175158</td>\n",
       "      <td>0.147809</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.165604</td>\n",
       "      <td>0.183342</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>0.159730</td>\n",
       "      <td>0.248360</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>0.148012</td>\n",
       "      <td>0.311092</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>0.140666</td>\n",
       "      <td>0.348233</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>0.133780</td>\n",
       "      <td>0.366627</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>0.124645</td>\n",
       "      <td>0.329633</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>0.133835</td>\n",
       "      <td>0.228698</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>0.125802</td>\n",
       "      <td>0.159941</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>0.125989</td>\n",
       "      <td>0.189106</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>0.120723</td>\n",
       "      <td>0.140637</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>0.113918</td>\n",
       "      <td>0.117440</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>0.105251</td>\n",
       "      <td>0.105924</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>0.103011</td>\n",
       "      <td>0.104929</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>0.100567</td>\n",
       "      <td>0.100164</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>0.093395</td>\n",
       "      <td>0.124308</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>0.088460</td>\n",
       "      <td>0.125278</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>0.082658</td>\n",
       "      <td>0.126533</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>0.085741</td>\n",
       "      <td>0.132074</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>0.088681</td>\n",
       "      <td>0.135265</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>51</td>\n",
       "      <td>0.082244</td>\n",
       "      <td>0.138353</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>52</td>\n",
       "      <td>0.086600</td>\n",
       "      <td>0.150513</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>53</td>\n",
       "      <td>0.096368</td>\n",
       "      <td>0.146377</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>0.093019</td>\n",
       "      <td>0.178272</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>55</td>\n",
       "      <td>0.088297</td>\n",
       "      <td>0.148651</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>0.084228</td>\n",
       "      <td>0.146760</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>0.082243</td>\n",
       "      <td>0.163074</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>58</td>\n",
       "      <td>0.076310</td>\n",
       "      <td>0.167938</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>0.072322</td>\n",
       "      <td>0.178376</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>60</td>\n",
       "      <td>0.067160</td>\n",
       "      <td>0.188885</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>61</td>\n",
       "      <td>0.062358</td>\n",
       "      <td>0.169420</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>0.059543</td>\n",
       "      <td>0.184196</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>0.055862</td>\n",
       "      <td>0.162387</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>0.052852</td>\n",
       "      <td>0.172913</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>0.061136</td>\n",
       "      <td>0.176537</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>66</td>\n",
       "      <td>0.059656</td>\n",
       "      <td>0.191274</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>0.064763</td>\n",
       "      <td>0.192965</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>68</td>\n",
       "      <td>0.064717</td>\n",
       "      <td>0.197523</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>0.069361</td>\n",
       "      <td>0.204884</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
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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": 12,
   "id": "82d7e7ba",
   "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": 13,
   "id": "65d02a91",
   "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": [],
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       "<IPython.core.display.HTML object>"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "  chickenpox       1.00      0.89      0.94         9\n",
      "   monkeypox       0.90      1.00      0.95         9\n",
      "\n",
      "    accuracy                           0.94        18\n",
      "   macro avg       0.95      0.94      0.94        18\n",
      "weighted avg       0.95      0.94      0.94        18\n",
      "\n"
     ]
    }
   ],
   "source": [
    "interp.print_classification_report()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e1f92e2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3ed1906",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47e589b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7a2e74f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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