adaboost_extended.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3b5eda57",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1427669d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample1</th>\n",
       "      <th>Sample2</th>\n",
       "      <th>Sample3</th>\n",
       "      <th>Sample4</th>\n",
       "      <th>Sample5</th>\n",
       "      <th>Sample6</th>\n",
       "      <th>Sample7</th>\n",
       "      <th>Sample8</th>\n",
       "      <th>Sample9</th>\n",
       "      <th>Sample10</th>\n",
       "      <th>...</th>\n",
       "      <th>Sample262</th>\n",
       "      <th>Sample263</th>\n",
       "      <th>Sample264</th>\n",
       "      <th>Sample265</th>\n",
       "      <th>Sample266</th>\n",
       "      <th>Sample267</th>\n",
       "      <th>Sample268</th>\n",
       "      <th>Sample269</th>\n",
       "      <th>Sample270</th>\n",
       "      <th>Sample271</th>\n",
       "    </tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 271 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sample1  Sample2 Sample3 Sample4  Sample5 Sample6 Sample7 Sample8 Sample9  \\\n",
       "0     left     left    left    left     left    left    left    left    left   \n",
       "1  0.33364  0.62579       0       0  0.56233       0       0       0       0   \n",
       "2  0.33364  0.62579       0       0  0.56233       0       0       0       0   \n",
       "3  0.33364  0.62579       0       0  0.56233       0       0       0       0   \n",
       "4  0.33364  0.62579       0       0  0.56233       0       0       0       0   \n",
       "\n",
       "  Sample10  ... Sample262 Sample263 Sample264 Sample265 Sample266 Sample267  \\\n",
       "0     left  ...     right     right     right     right     right     right   \n",
       "1        0  ...         0   6.11234         0         0         0         0   \n",
       "2        0  ...         0   6.11234         0         0         0         0   \n",
       "3        0  ...         0   6.10627         0         0         0         0   \n",
       "4        0  ...         0   6.10627         0         0         0         0   \n",
       "\n",
       "  Sample268 Sample269 Sample270 Sample271  \n",
       "0     right     right     right     right  \n",
       "1         0         0         0         0  \n",
       "2         0         0         0         0  \n",
       "3         0         0         0         0  \n",
       "4         0         0         0         0  \n",
       "\n",
       "[5 rows x 271 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"otu.csv\", dtype = \"unicode\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bfbd8633",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample1</th>\n",
       "      <th>Sample2</th>\n",
       "      <th>Sample3</th>\n",
       "      <th>Sample4</th>\n",
       "      <th>Sample5</th>\n",
       "      <th>Sample6</th>\n",
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       "      <th>Sample267</th>\n",
       "      <th>Sample268</th>\n",
       "      <th>Sample269</th>\n",
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       "      <th>3298</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3302</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
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       "<p>3303 rows × 271 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sample1  Sample2 Sample3 Sample4  Sample5 Sample6 Sample7 Sample8  \\\n",
       "0        left     left    left    left     left    left    left    left   \n",
       "1     0.33364  0.62579       0       0  0.56233       0       0       0   \n",
       "2     0.33364  0.62579       0       0  0.56233       0       0       0   \n",
       "3     0.33364  0.62579       0       0  0.56233       0       0       0   \n",
       "4     0.33364  0.62579       0       0  0.56233       0       0       0   \n",
       "...       ...      ...     ...     ...      ...     ...     ...     ...   \n",
       "3298        0        0       0       0        0       0       0       0   \n",
       "3299        0        0       0       0        0       0       0       0   \n",
       "3300        0        0       0       0        0       0       0       0   \n",
       "3301        0        0       0       0        0       0       0       0   \n",
       "3302        0        0       0       0        0       0       0       0   \n",
       "\n",
       "     Sample9 Sample10  ... Sample262 Sample263 Sample264 Sample265 Sample266  \\\n",
       "0       left     left  ...     right     right     right     right     right   \n",
       "1          0        0  ...         0   6.11234         0         0         0   \n",
       "2          0        0  ...         0   6.11234         0         0         0   \n",
       "3          0        0  ...         0   6.10627         0         0         0   \n",
       "4          0        0  ...         0   6.10627         0         0         0   \n",
       "...      ...      ...  ...       ...       ...       ...       ...       ...   \n",
       "3298       0        0  ...         0         0         0         0         0   \n",
       "3299       0        0  ...         0         0         0         0         0   \n",
       "3300       0        0  ...         0         0         0         0         0   \n",
       "3301       0        0  ...         0         0         0         0         0   \n",
       "3302       0        0  ...         0         0         0         0         0   \n",
       "\n",
       "     Sample267 Sample268 Sample269 Sample270 Sample271  \n",
       "0        right     right     right     right     right  \n",
       "1            0         0         0         0         0  \n",
       "2            0         0         0         0         0  \n",
       "3            0         0         0         0         0  \n",
       "4            0         0         0         0         0  \n",
       "...        ...       ...       ...       ...       ...  \n",
       "3298         0         0         0         0         0  \n",
       "3299         0         0         0         0         0  \n",
       "3300         0         0         0         0         0  \n",
       "3301         0         0         0         0         0  \n",
       "3302         0         0         0         0         0  \n",
       "\n",
       "[3303 rows x 271 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(data.columns[(data == 0).all()], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f7489ec2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>3293</th>\n",
       "      <th>3294</th>\n",
       "      <th>3295</th>\n",
       "      <th>3296</th>\n",
       "      <th>3297</th>\n",
       "      <th>3298</th>\n",
       "      <th>3299</th>\n",
       "      <th>3300</th>\n",
       "      <th>3301</th>\n",
       "      <th>3302</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sample1</th>\n",
       "      <td>left</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample2</th>\n",
       "      <td>left</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.49776</td>\n",
       "      <td>0.49776</td>\n",
       "      <td>0.12802</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample3</th>\n",
       "      <td>left</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample4</th>\n",
       "      <td>left</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample5</th>\n",
       "      <td>left</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.49446</td>\n",
       "      <td>0.49446</td>\n",
       "      <td>0.06786</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 3303 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         0        1        2        3        4        5        6        7     \\\n",
       "Sample1  left  0.33364  0.33364  0.33364  0.33364  0.33364  0.33364  0.33364   \n",
       "Sample2  left  0.62579  0.62579  0.62579  0.62579  0.62579  0.62579  0.49776   \n",
       "Sample3  left        0        0        0        0        0        0        0   \n",
       "Sample4  left        0        0        0        0        0        0        0   \n",
       "Sample5  left  0.56233  0.56233  0.56233  0.56233  0.56233  0.56233  0.49446   \n",
       "\n",
       "            8        9     ... 3293 3294 3295 3296 3297 3298 3299 3300 3301  \\\n",
       "Sample1  0.33364        0  ...    0    0    0    0    0    0    0    0    0   \n",
       "Sample2  0.49776  0.12802  ...    0    0    0    0    0    0    0    0    0   \n",
       "Sample3        0        0  ...    0    0    0    0    0    0    0    0    0   \n",
       "Sample4        0        0  ...    0    0    0    0    0    0    0    0    0   \n",
       "Sample5  0.49446  0.06786  ...    0    0    0    0    0    0    0    0    0   \n",
       "\n",
       "        3302  \n",
       "Sample1    0  \n",
       "Sample2    0  \n",
       "Sample3    0  \n",
       "Sample4    0  \n",
       "Sample5    0  \n",
       "\n",
       "[5 rows x 3303 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = data.T\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d362097f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#turning lefts and rights into 0s and 1s\n",
    "for i in range(len(dataset)):\n",
    "    if dataset[0][i] == 'left':\n",
    "        dataset[0][i] = 0\n",
    "    elif dataset[0][i] == 'right':\n",
    "        dataset[0][i] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0a157e07",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.iloc[:,1:]\n",
    "y = dataset.iloc[:,0]\n",
    "X=X.astype('float')\n",
    "y=y.astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2adc0d08",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>...</th>\n",
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       "      <th>3295</th>\n",
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       "      <th>3302</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sample1</th>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample2</th>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.49776</td>\n",
       "      <td>0.49776</td>\n",
       "      <td>0.12802</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample3</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample4</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample5</th>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.49446</td>\n",
       "      <td>0.49446</td>\n",
       "      <td>0.06786</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample267</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample268</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample269</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample270</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample271</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
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       "<p>271 rows × 3302 columns</p>\n",
       "</div>"
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      "text/plain": [
       "              1        2        3        4        5        6        7     \\\n",
       "Sample1    0.33364  0.33364  0.33364  0.33364  0.33364  0.33364  0.33364   \n",
       "Sample2    0.62579  0.62579  0.62579  0.62579  0.62579  0.62579  0.49776   \n",
       "Sample3    0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample4    0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample5    0.56233  0.56233  0.56233  0.56233  0.56233  0.56233  0.49446   \n",
       "...            ...      ...      ...      ...      ...      ...      ...   \n",
       "Sample267  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample268  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample269  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample270  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample271  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "\n",
       "              8        9     10    ...  3293  3294  3295  3296  3297  3298  \\\n",
       "Sample1    0.33364  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample2    0.49776  0.12802   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample3    0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample4    0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample5    0.49446  0.06786   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "...            ...      ...   ...  ...   ...   ...   ...   ...   ...   ...   \n",
       "Sample267  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample268  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample269  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample270  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "Sample271  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "           3299  3300  3301  3302  \n",
       "Sample1     0.0   0.0   0.0   0.0  \n",
       "Sample2     0.0   0.0   0.0   0.0  \n",
       "Sample3     0.0   0.0   0.0   0.0  \n",
       "Sample4     0.0   0.0   0.0   0.0  \n",
       "Sample5     0.0   0.0   0.0   0.0  \n",
       "...         ...   ...   ...   ...  \n",
       "Sample267   0.0   0.0   0.0   0.0  \n",
       "Sample268   0.0   0.0   0.0   0.0  \n",
       "Sample269   0.0   0.0   0.0   0.0  \n",
       "Sample270   0.0   0.0   0.0   0.0  \n",
       "Sample271   0.0   0.0   0.0   0.0  \n",
       "\n",
       "[271 rows x 3302 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "be2f7028",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sample1      0.0\n",
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       "Sample3      0.0\n",
       "Sample4      0.0\n",
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       "            ... \n",
       "Sample267    1.0\n",
       "Sample268    1.0\n",
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       "Name: 0, Length: 271, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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    "y"
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  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d371103f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([  18,   43,   44,  132,  206,  207,  208,  209,  210,  211,\n",
       "            ...\n",
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns[(X == 0).all()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5a237565",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
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       "      <th>6</th>\n",
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       "      <th>3252</th>\n",
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       "      <th>3254</th>\n",
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       "      <th>3256</th>\n",
       "      <th>3257</th>\n",
       "      <th>3258</th>\n",
       "      <th>3259</th>\n",
       "      <th>3260</th>\n",
       "      <th>3261</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sample1</th>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
       "      <td>0.33364</td>\n",
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       "    <tr>\n",
       "      <th>Sample2</th>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
       "      <td>0.62579</td>\n",
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       "      <td>0.49776</td>\n",
       "      <td>0.49776</td>\n",
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       "    <tr>\n",
       "      <th>Sample3</th>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample4</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
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       "      <th>Sample5</th>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
       "      <td>0.56233</td>\n",
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       "    <tr>\n",
       "      <th>Sample267</th>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
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       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sample268</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>Sample269</th>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
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       "    <tr>\n",
       "      <th>Sample270</th>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>Sample271</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
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       "      <td>0.00000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>271 rows × 1387 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              1        2        3        4        5        6        7     \\\n",
       "Sample1    0.33364  0.33364  0.33364  0.33364  0.33364  0.33364  0.33364   \n",
       "Sample2    0.62579  0.62579  0.62579  0.62579  0.62579  0.62579  0.49776   \n",
       "Sample3    0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample4    0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample5    0.56233  0.56233  0.56233  0.56233  0.56233  0.56233  0.49446   \n",
       "...            ...      ...      ...      ...      ...      ...      ...   \n",
       "Sample267  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample268  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample269  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample270  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "Sample271  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000  0.00000   \n",
       "\n",
       "              8        9     10    ...  3252  3253  3254  3255  3256  3257  \\\n",
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       "Sample4    0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
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       "...            ...      ...   ...  ...   ...   ...   ...   ...   ...   ...   \n",
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       "Sample271  0.00000  0.00000   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "           3258  3259  3260  3261  \n",
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       "Sample2     0.0   0.0   0.0   0.0  \n",
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       "Sample4     0.0   0.0   0.0   0.0  \n",
       "Sample5     0.0   0.0   0.0   0.0  \n",
       "...         ...   ...   ...   ...  \n",
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       "Sample269   0.0   0.0   0.0   0.0  \n",
       "Sample270   0.0   0.0   0.0   0.0  \n",
       "Sample271   0.0   0.0   0.0   0.0  \n",
       "\n",
       "[271 rows x 1387 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.drop(X.columns[(X == 0).all()], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6eca23c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "96293560",
   "metadata": {},
   "outputs": [],
   "source": [
    "ada_boost = AdaBoostClassifier(n_estimators=95, learning_rate=0.8, random_state=42)\n",
    "model = ada_boost.fit(X_train, y_train)\n",
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a26250e8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 1., 1., 1., 0., 1., 1., 1., 0., 0., 1., 0., 0., 0., 0., 1., 1.,\n",
       "       1., 1., 1., 0., 1., 0., 1., 0., 0., 0., 0., 1., 1., 1., 1., 1., 0.,\n",
       "       1., 0., 1., 0., 0., 0., 0., 0., 1., 0., 1., 1., 1., 0., 0., 0., 0.,\n",
       "       0., 0., 1., 0.])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f0f59d2f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "(pd.Series(model.feature_importances_, index=X.columns)\n",
    "   .nlargest(4)\n",
    "   .plot(kind='barh')) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39998885",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "fig, axs = plt.subplots(2, 2, figsize=(7, 7))\n",
    "\n",
    "\n",
    "sns.histplot(data=dataset, x=X[74], kde=True, color=\"skyblue\", hue=X[0], ax=axs[0,0])\n",
    "sns.histplot(data=dataset, x=X[509], kde=True, color=\"skyblue\", hue=X[0], ax=axs[0,1])\n",
    "sns.histplot(data=dataset, x=X[463], kde=True, color=\"skyblue\", hue=X[0], ax=axs[1,0])\n",
    "sns.histplot(data=dataset, x=X[351], kde=True, color=\"skyblue\", hue=X[0], ax=axs[1,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26cfb14d",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}