16-Parkinsons-Disease-Detection/Parkinsons_Disease_Detection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4bcbb511",
   "metadata": {},
   "source": [
    "# Parkinsons Disease Detection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5b7ce3e",
   "metadata": {},
   "source": [
    "### Import all Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ff98fd27",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df703a82",
   "metadata": {},
   "source": [
    "### Data Collection and Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "597e29b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load dataset\n",
    "parkinsons_data = pd.read_csv(\"data/parkinsons.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "351a2bcf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>phon_R01_S01_1</td>\n",
       "      <td>119.992</td>\n",
       "      <td>157.302</td>\n",
       "      <td>74.997</td>\n",
       "      <td>0.00784</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.00370</td>\n",
       "      <td>0.00554</td>\n",
       "      <td>0.01109</td>\n",
       "      <td>0.04374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.06545</td>\n",
       "      <td>0.02211</td>\n",
       "      <td>21.033</td>\n",
       "      <td>1</td>\n",
       "      <td>0.414783</td>\n",
       "      <td>0.815285</td>\n",
       "      <td>-4.813031</td>\n",
       "      <td>0.266482</td>\n",
       "      <td>2.301442</td>\n",
       "      <td>0.284654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>phon_R01_S01_2</td>\n",
       "      <td>122.400</td>\n",
       "      <td>148.650</td>\n",
       "      <td>113.819</td>\n",
       "      <td>0.00968</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.00465</td>\n",
       "      <td>0.00696</td>\n",
       "      <td>0.01394</td>\n",
       "      <td>0.06134</td>\n",
       "      <td>...</td>\n",
       "      <td>0.09403</td>\n",
       "      <td>0.01929</td>\n",
       "      <td>19.085</td>\n",
       "      <td>1</td>\n",
       "      <td>0.458359</td>\n",
       "      <td>0.819521</td>\n",
       "      <td>-4.075192</td>\n",
       "      <td>0.335590</td>\n",
       "      <td>2.486855</td>\n",
       "      <td>0.368674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>phon_R01_S01_3</td>\n",
       "      <td>116.682</td>\n",
       "      <td>131.111</td>\n",
       "      <td>111.555</td>\n",
       "      <td>0.01050</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.00544</td>\n",
       "      <td>0.00781</td>\n",
       "      <td>0.01633</td>\n",
       "      <td>0.05233</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08270</td>\n",
       "      <td>0.01309</td>\n",
       "      <td>20.651</td>\n",
       "      <td>1</td>\n",
       "      <td>0.429895</td>\n",
       "      <td>0.825288</td>\n",
       "      <td>-4.443179</td>\n",
       "      <td>0.311173</td>\n",
       "      <td>2.342259</td>\n",
       "      <td>0.332634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>phon_R01_S01_4</td>\n",
       "      <td>116.676</td>\n",
       "      <td>137.871</td>\n",
       "      <td>111.366</td>\n",
       "      <td>0.00997</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.00502</td>\n",
       "      <td>0.00698</td>\n",
       "      <td>0.01505</td>\n",
       "      <td>0.05492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08771</td>\n",
       "      <td>0.01353</td>\n",
       "      <td>20.644</td>\n",
       "      <td>1</td>\n",
       "      <td>0.434969</td>\n",
       "      <td>0.819235</td>\n",
       "      <td>-4.117501</td>\n",
       "      <td>0.334147</td>\n",
       "      <td>2.405554</td>\n",
       "      <td>0.368975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>phon_R01_S01_5</td>\n",
       "      <td>116.014</td>\n",
       "      <td>141.781</td>\n",
       "      <td>110.655</td>\n",
       "      <td>0.01284</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.00655</td>\n",
       "      <td>0.00908</td>\n",
       "      <td>0.01966</td>\n",
       "      <td>0.06425</td>\n",
       "      <td>...</td>\n",
       "      <td>0.10470</td>\n",
       "      <td>0.01767</td>\n",
       "      <td>19.649</td>\n",
       "      <td>1</td>\n",
       "      <td>0.417356</td>\n",
       "      <td>0.823484</td>\n",
       "      <td>-3.747787</td>\n",
       "      <td>0.234513</td>\n",
       "      <td>2.332180</td>\n",
       "      <td>0.410335</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             name  MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "0  phon_R01_S01_1      119.992       157.302        74.997         0.00784   \n",
       "1  phon_R01_S01_2      122.400       148.650       113.819         0.00968   \n",
       "2  phon_R01_S01_3      116.682       131.111       111.555         0.01050   \n",
       "3  phon_R01_S01_4      116.676       137.871       111.366         0.00997   \n",
       "4  phon_R01_S01_5      116.014       141.781       110.655         0.01284   \n",
       "\n",
       "   MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  ...  \\\n",
       "0           0.00007   0.00370   0.00554     0.01109       0.04374  ...   \n",
       "1           0.00008   0.00465   0.00696     0.01394       0.06134  ...   \n",
       "2           0.00009   0.00544   0.00781     0.01633       0.05233  ...   \n",
       "3           0.00009   0.00502   0.00698     0.01505       0.05492  ...   \n",
       "4           0.00011   0.00655   0.00908     0.01966       0.06425  ...   \n",
       "\n",
       "   Shimmer:DDA      NHR     HNR  status      RPDE       DFA   spread1  \\\n",
       "0      0.06545  0.02211  21.033       1  0.414783  0.815285 -4.813031   \n",
       "1      0.09403  0.01929  19.085       1  0.458359  0.819521 -4.075192   \n",
       "2      0.08270  0.01309  20.651       1  0.429895  0.825288 -4.443179   \n",
       "3      0.08771  0.01353  20.644       1  0.434969  0.819235 -4.117501   \n",
       "4      0.10470  0.01767  19.649       1  0.417356  0.823484 -3.747787   \n",
       "\n",
       "    spread2        D2       PPE  \n",
       "0  0.266482  2.301442  0.284654  \n",
       "1  0.335590  2.486855  0.368674  \n",
       "2  0.311173  2.342259  0.332634  \n",
       "3  0.334147  2.405554  0.368975  \n",
       "4  0.234513  2.332180  0.410335  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show dataset\n",
    "parkinsons_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ef6ba253",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(195, 24)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dimention of dataset\n",
    "parkinsons_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "32cfee62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 195 entries, 0 to 194\n",
      "Data columns (total 24 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   name              195 non-null    object \n",
      " 1   MDVP:Fo(Hz)       195 non-null    float64\n",
      " 2   MDVP:Fhi(Hz)      195 non-null    float64\n",
      " 3   MDVP:Flo(Hz)      195 non-null    float64\n",
      " 4   MDVP:Jitter(%)    195 non-null    float64\n",
      " 5   MDVP:Jitter(Abs)  195 non-null    float64\n",
      " 6   MDVP:RAP          195 non-null    float64\n",
      " 7   MDVP:PPQ          195 non-null    float64\n",
      " 8   Jitter:DDP        195 non-null    float64\n",
      " 9   MDVP:Shimmer      195 non-null    float64\n",
      " 10  MDVP:Shimmer(dB)  195 non-null    float64\n",
      " 11  Shimmer:APQ3      195 non-null    float64\n",
      " 12  Shimmer:APQ5      195 non-null    float64\n",
      " 13  MDVP:APQ          195 non-null    float64\n",
      " 14  Shimmer:DDA       195 non-null    float64\n",
      " 15  NHR               195 non-null    float64\n",
      " 16  HNR               195 non-null    float64\n",
      " 17  status            195 non-null    int64  \n",
      " 18  RPDE              195 non-null    float64\n",
      " 19  DFA               195 non-null    float64\n",
      " 20  spread1           195 non-null    float64\n",
      " 21  spread2           195 non-null    float64\n",
      " 22  D2                195 non-null    float64\n",
      " 23  PPE               195 non-null    float64\n",
      "dtypes: float64(22), int64(1), object(1)\n",
      "memory usage: 36.7+ KB\n"
     ]
    }
   ],
   "source": [
    "# dataset information\n",
    "parkinsons_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "cf64a857",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                0\n",
       "MDVP:Fo(Hz)         0\n",
       "MDVP:Fhi(Hz)        0\n",
       "MDVP:Flo(Hz)        0\n",
       "MDVP:Jitter(%)      0\n",
       "MDVP:Jitter(Abs)    0\n",
       "MDVP:RAP            0\n",
       "MDVP:PPQ            0\n",
       "Jitter:DDP          0\n",
       "MDVP:Shimmer        0\n",
       "MDVP:Shimmer(dB)    0\n",
       "Shimmer:APQ3        0\n",
       "Shimmer:APQ5        0\n",
       "MDVP:APQ            0\n",
       "Shimmer:DDA         0\n",
       "NHR                 0\n",
       "HNR                 0\n",
       "status              0\n",
       "RPDE                0\n",
       "DFA                 0\n",
       "spread1             0\n",
       "spread2             0\n",
       "D2                  0\n",
       "PPE                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking null values\n",
    "parkinsons_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ca47d936",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>MDVP:Shimmer(dB)</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>154.228641</td>\n",
       "      <td>197.104918</td>\n",
       "      <td>116.324631</td>\n",
       "      <td>0.006220</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>0.003306</td>\n",
       "      <td>0.003446</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.029709</td>\n",
       "      <td>0.282251</td>\n",
       "      <td>...</td>\n",
       "      <td>0.046993</td>\n",
       "      <td>0.024847</td>\n",
       "      <td>21.885974</td>\n",
       "      <td>0.753846</td>\n",
       "      <td>0.498536</td>\n",
       "      <td>0.718099</td>\n",
       "      <td>-5.684397</td>\n",
       "      <td>0.226510</td>\n",
       "      <td>2.381826</td>\n",
       "      <td>0.206552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>41.390065</td>\n",
       "      <td>91.491548</td>\n",
       "      <td>43.521413</td>\n",
       "      <td>0.004848</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.002968</td>\n",
       "      <td>0.002759</td>\n",
       "      <td>0.008903</td>\n",
       "      <td>0.018857</td>\n",
       "      <td>0.194877</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030459</td>\n",
       "      <td>0.040418</td>\n",
       "      <td>4.425764</td>\n",
       "      <td>0.431878</td>\n",
       "      <td>0.103942</td>\n",
       "      <td>0.055336</td>\n",
       "      <td>1.090208</td>\n",
       "      <td>0.083406</td>\n",
       "      <td>0.382799</td>\n",
       "      <td>0.090119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>88.333000</td>\n",
       "      <td>102.145000</td>\n",
       "      <td>65.476000</td>\n",
       "      <td>0.001680</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000680</td>\n",
       "      <td>0.000920</td>\n",
       "      <td>0.002040</td>\n",
       "      <td>0.009540</td>\n",
       "      <td>0.085000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013640</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>8.441000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.256570</td>\n",
       "      <td>0.574282</td>\n",
       "      <td>-7.964984</td>\n",
       "      <td>0.006274</td>\n",
       "      <td>1.423287</td>\n",
       "      <td>0.044539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>117.572000</td>\n",
       "      <td>134.862500</td>\n",
       "      <td>84.291000</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.001860</td>\n",
       "      <td>0.004985</td>\n",
       "      <td>0.016505</td>\n",
       "      <td>0.148500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024735</td>\n",
       "      <td>0.005925</td>\n",
       "      <td>19.198000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.421306</td>\n",
       "      <td>0.674758</td>\n",
       "      <td>-6.450096</td>\n",
       "      <td>0.174351</td>\n",
       "      <td>2.099125</td>\n",
       "      <td>0.137451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>148.790000</td>\n",
       "      <td>175.829000</td>\n",
       "      <td>104.315000</td>\n",
       "      <td>0.004940</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002690</td>\n",
       "      <td>0.007490</td>\n",
       "      <td>0.022970</td>\n",
       "      <td>0.221000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038360</td>\n",
       "      <td>0.011660</td>\n",
       "      <td>22.085000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.495954</td>\n",
       "      <td>0.722254</td>\n",
       "      <td>-5.720868</td>\n",
       "      <td>0.218885</td>\n",
       "      <td>2.361532</td>\n",
       "      <td>0.194052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>182.769000</td>\n",
       "      <td>224.205500</td>\n",
       "      <td>140.018500</td>\n",
       "      <td>0.007365</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.003835</td>\n",
       "      <td>0.003955</td>\n",
       "      <td>0.011505</td>\n",
       "      <td>0.037885</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060795</td>\n",
       "      <td>0.025640</td>\n",
       "      <td>25.075500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.587562</td>\n",
       "      <td>0.761881</td>\n",
       "      <td>-5.046192</td>\n",
       "      <td>0.279234</td>\n",
       "      <td>2.636456</td>\n",
       "      <td>0.252980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>260.105000</td>\n",
       "      <td>592.030000</td>\n",
       "      <td>239.170000</td>\n",
       "      <td>0.033160</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>0.021440</td>\n",
       "      <td>0.019580</td>\n",
       "      <td>0.064330</td>\n",
       "      <td>0.119080</td>\n",
       "      <td>1.302000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.169420</td>\n",
       "      <td>0.314820</td>\n",
       "      <td>33.047000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.685151</td>\n",
       "      <td>0.825288</td>\n",
       "      <td>-2.434031</td>\n",
       "      <td>0.450493</td>\n",
       "      <td>3.671155</td>\n",
       "      <td>0.527367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "count   195.000000    195.000000    195.000000      195.000000   \n",
       "mean    154.228641    197.104918    116.324631        0.006220   \n",
       "std      41.390065     91.491548     43.521413        0.004848   \n",
       "min      88.333000    102.145000     65.476000        0.001680   \n",
       "25%     117.572000    134.862500     84.291000        0.003460   \n",
       "50%     148.790000    175.829000    104.315000        0.004940   \n",
       "75%     182.769000    224.205500    140.018500        0.007365   \n",
       "max     260.105000    592.030000    239.170000        0.033160   \n",
       "\n",
       "       MDVP:Jitter(Abs)    MDVP:RAP    MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  \\\n",
       "count        195.000000  195.000000  195.000000  195.000000    195.000000   \n",
       "mean           0.000044    0.003306    0.003446    0.009920      0.029709   \n",
       "std            0.000035    0.002968    0.002759    0.008903      0.018857   \n",
       "min            0.000007    0.000680    0.000920    0.002040      0.009540   \n",
       "25%            0.000020    0.001660    0.001860    0.004985      0.016505   \n",
       "50%            0.000030    0.002500    0.002690    0.007490      0.022970   \n",
       "75%            0.000060    0.003835    0.003955    0.011505      0.037885   \n",
       "max            0.000260    0.021440    0.019580    0.064330      0.119080   \n",
       "\n",
       "       MDVP:Shimmer(dB)  ...  Shimmer:DDA         NHR         HNR      status  \\\n",
       "count        195.000000  ...   195.000000  195.000000  195.000000  195.000000   \n",
       "mean           0.282251  ...     0.046993    0.024847   21.885974    0.753846   \n",
       "std            0.194877  ...     0.030459    0.040418    4.425764    0.431878   \n",
       "min            0.085000  ...     0.013640    0.000650    8.441000    0.000000   \n",
       "25%            0.148500  ...     0.024735    0.005925   19.198000    1.000000   \n",
       "50%            0.221000  ...     0.038360    0.011660   22.085000    1.000000   \n",
       "75%            0.350000  ...     0.060795    0.025640   25.075500    1.000000   \n",
       "max            1.302000  ...     0.169420    0.314820   33.047000    1.000000   \n",
       "\n",
       "             RPDE         DFA     spread1     spread2          D2         PPE  \n",
       "count  195.000000  195.000000  195.000000  195.000000  195.000000  195.000000  \n",
       "mean     0.498536    0.718099   -5.684397    0.226510    2.381826    0.206552  \n",
       "std      0.103942    0.055336    1.090208    0.083406    0.382799    0.090119  \n",
       "min      0.256570    0.574282   -7.964984    0.006274    1.423287    0.044539  \n",
       "25%      0.421306    0.674758   -6.450096    0.174351    2.099125    0.137451  \n",
       "50%      0.495954    0.722254   -5.720868    0.218885    2.361532    0.194052  \n",
       "75%      0.587562    0.761881   -5.046192    0.279234    2.636456    0.252980  \n",
       "max      0.685151    0.825288   -2.434031    0.450493    3.671155    0.527367  \n",
       "\n",
       "[8 rows x 23 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# statistical measures of dataset\n",
    "parkinsons_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a527f96b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "status\n",
       "1    147\n",
       "0     48\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check target distribution\n",
    "parkinsons_data[\"status\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f71cf23f",
   "metadata": {},
   "source": [
    "1 = Parkinsons / 0 = Healthy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "aecd0719",
   "metadata": {
    "scrolled": false
   },
   "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>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>MDVP:Shimmer(dB)</th>\n",
       "      <th>...</th>\n",
       "      <th>MDVP:APQ</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>181.937771</td>\n",
       "      <td>223.636750</td>\n",
       "      <td>145.207292</td>\n",
       "      <td>0.003866</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.001925</td>\n",
       "      <td>0.002056</td>\n",
       "      <td>0.005776</td>\n",
       "      <td>0.017615</td>\n",
       "      <td>0.162958</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013305</td>\n",
       "      <td>0.028511</td>\n",
       "      <td>0.011483</td>\n",
       "      <td>24.678750</td>\n",
       "      <td>0.442552</td>\n",
       "      <td>0.695716</td>\n",
       "      <td>-6.759264</td>\n",
       "      <td>0.160292</td>\n",
       "      <td>2.154491</td>\n",
       "      <td>0.123017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>145.180762</td>\n",
       "      <td>188.441463</td>\n",
       "      <td>106.893558</td>\n",
       "      <td>0.006989</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.003757</td>\n",
       "      <td>0.003900</td>\n",
       "      <td>0.011273</td>\n",
       "      <td>0.033658</td>\n",
       "      <td>0.321204</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027600</td>\n",
       "      <td>0.053027</td>\n",
       "      <td>0.029211</td>\n",
       "      <td>20.974048</td>\n",
       "      <td>0.516816</td>\n",
       "      <td>0.725408</td>\n",
       "      <td>-5.333420</td>\n",
       "      <td>0.248133</td>\n",
       "      <td>2.456058</td>\n",
       "      <td>0.233828</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "status                                                            \n",
       "0        181.937771    223.636750    145.207292        0.003866   \n",
       "1        145.180762    188.441463    106.893558        0.006989   \n",
       "\n",
       "        MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  \\\n",
       "status                                                                   \n",
       "0               0.000023  0.001925  0.002056    0.005776      0.017615   \n",
       "1               0.000051  0.003757  0.003900    0.011273      0.033658   \n",
       "\n",
       "        MDVP:Shimmer(dB)  ...  MDVP:APQ  Shimmer:DDA       NHR        HNR  \\\n",
       "status                    ...                                               \n",
       "0               0.162958  ...  0.013305     0.028511  0.011483  24.678750   \n",
       "1               0.321204  ...  0.027600     0.053027  0.029211  20.974048   \n",
       "\n",
       "            RPDE       DFA   spread1   spread2        D2       PPE  \n",
       "status                                                              \n",
       "0       0.442552  0.695716 -6.759264  0.160292  2.154491  0.123017  \n",
       "1       0.516816  0.725408 -5.333420  0.248133  2.456058  0.233828  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# target grouping excluding the string values\n",
    "parkinsons_data.drop(columns = [\"name\"]).groupby(\"status\").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "746f88e3",
   "metadata": {},
   "source": [
    "### Separate Features and Target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "0fa74f2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = parkinsons_data.drop(columns = [\"name\", \"status\"], axis = 1)\n",
    "Y = parkinsons_data[\"status\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "54626e89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
      "0        119.992       157.302        74.997         0.00784   \n",
      "1        122.400       148.650       113.819         0.00968   \n",
      "2        116.682       131.111       111.555         0.01050   \n",
      "3        116.676       137.871       111.366         0.00997   \n",
      "4        116.014       141.781       110.655         0.01284   \n",
      "..           ...           ...           ...             ...   \n",
      "190      174.188       230.978        94.261         0.00459   \n",
      "191      209.516       253.017        89.488         0.00564   \n",
      "192      174.688       240.005        74.287         0.01360   \n",
      "193      198.764       396.961        74.904         0.00740   \n",
      "194      214.289       260.277        77.973         0.00567   \n",
      "\n",
      "     MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  \\\n",
      "0             0.00007   0.00370   0.00554     0.01109       0.04374   \n",
      "1             0.00008   0.00465   0.00696     0.01394       0.06134   \n",
      "2             0.00009   0.00544   0.00781     0.01633       0.05233   \n",
      "3             0.00009   0.00502   0.00698     0.01505       0.05492   \n",
      "4             0.00011   0.00655   0.00908     0.01966       0.06425   \n",
      "..                ...       ...       ...         ...           ...   \n",
      "190           0.00003   0.00263   0.00259     0.00790       0.04087   \n",
      "191           0.00003   0.00331   0.00292     0.00994       0.02751   \n",
      "192           0.00008   0.00624   0.00564     0.01873       0.02308   \n",
      "193           0.00004   0.00370   0.00390     0.01109       0.02296   \n",
      "194           0.00003   0.00295   0.00317     0.00885       0.01884   \n",
      "\n",
      "     MDVP:Shimmer(dB)  ...  MDVP:APQ  Shimmer:DDA      NHR     HNR      RPDE  \\\n",
      "0               0.426  ...   0.02971      0.06545  0.02211  21.033  0.414783   \n",
      "1               0.626  ...   0.04368      0.09403  0.01929  19.085  0.458359   \n",
      "2               0.482  ...   0.03590      0.08270  0.01309  20.651  0.429895   \n",
      "3               0.517  ...   0.03772      0.08771  0.01353  20.644  0.434969   \n",
      "4               0.584  ...   0.04465      0.10470  0.01767  19.649  0.417356   \n",
      "..                ...  ...       ...          ...      ...     ...       ...   \n",
      "190             0.405  ...   0.02745      0.07008  0.02764  19.517  0.448439   \n",
      "191             0.263  ...   0.01879      0.04812  0.01810  19.147  0.431674   \n",
      "192             0.256  ...   0.01667      0.03804  0.10715  17.883  0.407567   \n",
      "193             0.241  ...   0.01588      0.03794  0.07223  19.020  0.451221   \n",
      "194             0.190  ...   0.01373      0.03078  0.04398  21.209  0.462803   \n",
      "\n",
      "          DFA   spread1   spread2        D2       PPE  \n",
      "0    0.815285 -4.813031  0.266482  2.301442  0.284654  \n",
      "1    0.819521 -4.075192  0.335590  2.486855  0.368674  \n",
      "2    0.825288 -4.443179  0.311173  2.342259  0.332634  \n",
      "3    0.819235 -4.117501  0.334147  2.405554  0.368975  \n",
      "4    0.823484 -3.747787  0.234513  2.332180  0.410335  \n",
      "..        ...       ...       ...       ...       ...  \n",
      "190  0.657899 -6.538586  0.121952  2.657476  0.133050  \n",
      "191  0.683244 -6.195325  0.129303  2.784312  0.168895  \n",
      "192  0.655683 -6.787197  0.158453  2.679772  0.131728  \n",
      "193  0.643956 -6.744577  0.207454  2.138608  0.123306  \n",
      "194  0.664357 -5.724056  0.190667  2.555477  0.148569  \n",
      "\n",
      "[195 rows x 22 columns]\n",
      "0      1\n",
      "1      1\n",
      "2      1\n",
      "3      1\n",
      "4      1\n",
      "      ..\n",
      "190    0\n",
      "191    0\n",
      "192    0\n",
      "193    0\n",
      "194    0\n",
      "Name: status, Length: 195, dtype: int32\n"
     ]
    }
   ],
   "source": [
    "print(X)\n",
    "print(Y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fd68ab7",
   "metadata": {},
   "source": [
    "### Split Train and Test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4a00d8e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.2, random_state = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6f56a9b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total data:  (195, 22)\n",
      "Train data:  (156, 22)\n",
      "Test data:  (39, 22)\n"
     ]
    }
   ],
   "source": [
    "print(\"Total data: \", X.shape)\n",
    "print(\"Train data: \", X_train.shape)\n",
    "print(\"Test data: \", X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "821a74f8",
   "metadata": {},
   "source": [
    "### Data Standardization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fd78cd54",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "fb6913bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>StandardScaler()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "StandardScaler()"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# understand nature of data analysing mean and std\n",
    "scaler.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "492f8e76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.63239631, -0.02731081, -0.87985049, ..., -0.97586547,\n",
       "        -0.55160318,  0.07769494],\n",
       "       [-1.05512719, -0.83337041, -0.9284778 , ...,  0.3981808 ,\n",
       "        -0.61014073,  0.39291782],\n",
       "       [ 0.02996187, -0.29531068, -1.12211107, ..., -0.43937044,\n",
       "        -0.62849605, -0.50948408],\n",
       "       ...,\n",
       "       [-0.9096785 , -0.6637302 , -0.160638  , ...,  1.22001022,\n",
       "        -0.47404629, -0.2159482 ],\n",
       "       [-0.35977689,  0.19731822, -0.79063679, ..., -0.17896029,\n",
       "        -0.47272835,  0.28181221],\n",
       "       [ 1.01957066,  0.19922317, -0.61914972, ..., -0.716232  ,\n",
       "         1.23632066, -0.05829386]])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert all values in same range\n",
    "scaler.transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "30ced707",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "        -1.05220719e+00,  1.20295881e+00, -2.06049026e-01,\n",
       "         8.99849281e-01,  9.26297137e-01,  7.05889923e-01,\n",
       "         7.08666241e-01],\n",
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       "         5.48752486e-02, -9.94270682e-02,  3.21579625e-01,\n",
       "         3.98211129e-01,  7.81695609e-02,  2.90000745e-01,\n",
       "         6.81466028e-01,  7.84876447e-02,  3.06798283e-02,\n",
       "         9.57608471e-02,  2.41205147e-01,  3.42159590e-01,\n",
       "         8.64938299e-02,  1.34863999e-01,  1.14522326e+00,\n",
       "         1.20125076e-01],\n",
       "       [-9.94278751e-01, -7.58966614e-01, -1.52844152e-01,\n",
       "         7.64967205e-01,  1.23242377e+00,  6.11243122e-01,\n",
       "         1.42591223e+00,  6.12212349e-01,  1.05844889e+00,\n",
       "         8.85793858e-01,  1.03670582e+00,  1.57048624e+00,\n",
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       "        -2.09630161e-01, -6.29027463e-01,  1.97458060e+00,\n",
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       "        -9.56700874e-01, -1.03840719e+00, -2.31430733e-01,\n",
       "         1.12653643e+00, -3.69919314e-01, -3.71085406e-01,\n",
       "        -1.08276123e+00, -8.52597527e-01, -1.62260941e-01,\n",
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       "        -7.53958371e-01, -9.44288467e-01, -7.72595003e-01,\n",
       "        -7.62343838e-01, -7.71588679e-01, -2.33836841e-01,\n",
       "        -3.40404291e-01, -1.62165871e-01, -2.55376525e-01,\n",
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       "       [-9.94428133e-01, -6.84097654e-01, -1.57089215e-01,\n",
       "         6.63832713e-01,  1.23242377e+00,  4.80339515e-01,\n",
       "         1.14562634e+00,  4.79234473e-01,  1.18863248e+00,\n",
       "         1.05475817e+00,  1.19287709e+00,  1.68718269e+00,\n",
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       "        -7.98483076e-01],\n",
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       "        -8.57198216e-01, -1.82714228e-01, -1.09783161e+00,\n",
       "        -7.83735493e-01],\n",
       "       [-9.39259575e-02, -4.02408731e-01, -9.55116135e-01,\n",
       "        -6.77630452e-01, -6.72199437e-01, -7.07143200e-01,\n",
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       "        -7.16686525e-01, -5.46823834e-01, -4.82723318e-01,\n",
       "         7.12154288e-01, -2.08246176e-01, -1.22635888e+00,\n",
       "        -3.86515968e-01, -2.55827710e-01, -6.74530773e-01,\n",
       "        -4.09865504e-01],\n",
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       "        -7.79228530e-01, -6.88477506e-01, -9.18934256e-01,\n",
       "        -8.42469675e-01, -9.06551100e-01, -9.91278604e-01,\n",
       "        -8.11036993e-01, -9.06237660e-01, -4.66496353e-01,\n",
       "         6.38558292e-01, -3.23291844e-01, -2.55930334e+00,\n",
       "         1.34987413e-01,  1.92877440e+00,  1.34592739e+00,\n",
       "         1.32384340e-01],\n",
       "       [-9.05022750e-01, -6.91041861e-01, -7.95101276e-02,\n",
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       "        -6.58752027e-01, -8.13033207e-01, -4.83174067e-01,\n",
       "         7.04384622e-01,  9.28142594e-01,  8.31175656e-01,\n",
       "         3.10734791e-02,  3.79975975e-01, -1.35833065e+00,\n",
       "         3.69165339e-02],\n",
       "       [ 4.30705131e-01, -7.64629495e-02, -7.22783164e-01,\n",
       "        -3.30338424e-01, -4.00110407e-01, -3.95467946e-01,\n",
       "        -3.40226541e-01, -3.95510622e-01,  5.35201343e-01,\n",
       "         3.16142749e-01,  5.03666143e-01,  4.68617754e-01,\n",
       "         6.77051971e-01,  5.03986233e-01, -2.05287289e-01,\n",
       "        -2.59053864e-01,  3.77273009e-01, -6.12060951e-01,\n",
       "         3.73061900e-01, -1.77854118e-01,  3.90658214e-01,\n",
       "         4.85243046e-01],\n",
       "       [-1.15237851e-01, -4.68483911e-01,  3.25612629e-01,\n",
       "        -9.06614207e-01, -9.44288467e-01, -8.50513816e-01,\n",
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       "         6.65961153e-02, -1.14668718e+00, -1.58260382e+00,\n",
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       "       [-1.53270282e+00, -8.80883405e-01, -6.09446720e-01,\n",
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       "         5.17327442e-02,  4.68869042e-01,  1.47321016e+00,\n",
       "         5.83195142e-01,  1.18388300e+00,  1.01022954e-01,\n",
       "         6.76221560e-01],\n",
       "       [-1.10711228e+00, -7.52786602e-01, -4.67922160e-01,\n",
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       "         4.63285119e-02, -4.76556757e-01, -1.31519187e+00,\n",
       "         4.36736081e-02],\n",
       "       [-1.19034319e+00, -7.19704711e-01, -3.47825061e-01,\n",
       "         2.13497995e-01,  6.88245713e-01,  3.47637782e-03,\n",
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       "        -1.28264500e-01,  3.65510702e-01,  1.85765335e+00,\n",
       "         9.04569134e-01, -2.33410008e-01, -1.02476887e+00,\n",
       "         1.16249494e+00],\n",
       "       [-4.34318718e-01, -2.27042591e-01, -9.38944466e-01,\n",
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       "         7.05032094e-01, -6.26487555e-01, -1.00569982e+00,\n",
       "         8.10400161e-03,  3.48285229e-01,  3.19746607e-01,\n",
       "        -9.03631484e-02],\n",
       "       [ 9.06562857e-01,  1.02569112e-01, -8.54919172e-01,\n",
       "         2.23038985e-01, -1.28021377e-01,  3.18268384e-01,\n",
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       "         6.72720746e-02,  5.09675919e-03,  3.90586460e-01,\n",
       "        -1.55890705e-01,  6.27064945e-01,  5.45279652e-01,\n",
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       "        -4.85227013e-02, -4.08644653e-01,  4.10778366e-01,\n",
       "        -6.40796560e-01],\n",
       "       [-1.52451168e+00, -1.07977346e+00, -6.31053866e-01,\n",
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       "        -4.96121614e-02,  1.44260687e-01, -3.80628663e-01,\n",
       "         5.45384566e-02,  1.38658201e+00,  1.12087712e+00,\n",
       "         4.91536327e-01,  2.83621044e-01, -9.46868610e-01,\n",
       "         5.54519145e-01],\n",
       "       [ 1.23761922e+00,  2.95888297e-01, -5.91612964e-01,\n",
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       "        -5.19157474e-01, -5.06611880e-01, -3.83783906e-01,\n",
       "         5.21643923e-02, -1.55114544e+00, -8.44865548e-02,\n",
       "        -9.40564247e-01, -5.14154950e-01,  1.37686127e+00,\n",
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       "       [ 2.16159933e+00,  5.67864191e-01,  2.56219930e+00,\n",
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       "        -8.34210792e-01, -8.15215252e-01, -5.17656368e-01,\n",
       "         8.08411807e-01, -5.50290302e-01, -1.57665467e+00,\n",
       "        -1.23164638e+00, -1.57435339e+00, -1.56698801e-01,\n",
       "        -1.25321272e+00],\n",
       "       [-1.38571051e+00, -9.92566629e-01, -5.10574936e-01,\n",
       "        -8.22726889e-02,  4.16156683e-01,  9.70988289e-03,\n",
       "        -3.63020875e-02,  9.65634621e-03, -3.51957085e-01,\n",
       "        -3.98334912e-01, -2.59422233e-01, -3.64134437e-01,\n",
       "        -4.38049177e-01, -2.59105741e-01, -3.41188122e-01,\n",
       "        -2.34449925e-01,  5.39845893e-01,  1.27570853e+00,\n",
       "         5.73962113e-01, -9.23122088e-01,  8.96966890e-02,\n",
       "         6.04403514e-01],\n",
       "       [-7.58702661e-01, -5.02318921e-01, -4.67562790e-01,\n",
       "         6.21852358e-01,  9.60334743e-01,  7.63963996e-01,\n",
       "         3.21653380e-01,  7.62851350e-01, -1.38335367e-01,\n",
       "        -1.56957324e-01, -1.38786938e-01, -2.37117897e-01,\n",
       "        -2.14035784e-01, -1.39093319e-01,  2.42757247e-01,\n",
       "        -1.90575389e-02,  1.29343016e+00, -1.72520611e+00,\n",
       "         5.31555286e-01,  6.43681110e-01,  1.26118997e+00,\n",
       "         4.43917638e-01]])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d11b71",
   "metadata": {},
   "source": [
    "### Model Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "c08a10aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load model\n",
    "model = SVC(kernel = \"linear\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3c586125",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(kernel=&#x27;linear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(kernel=&#x27;linear&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SVC(kernel='linear')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# training model with the svm model\n",
    "model.fit(X_train, Y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "062092ec",
   "metadata": {},
   "source": [
    "### Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "1c992a24",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy on training data:  0.8717948717948718\n"
     ]
    }
   ],
   "source": [
    "# accuracy on training data\n",
    "X_train_prediction = model.predict(X_train)\n",
    "training_data_accuracy = accuracy_score(X_train_prediction, Y_train)\n",
    "print(\"Accuracy on training data: \", training_data_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "4443149f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy on training data:  0.8717948717948718\n"
     ]
    }
   ],
   "source": [
    "# accuracy on test data\n",
    "X_test_prediction = model.predict(X_test)\n",
    "test_data_accuracy = accuracy_score(X_test_prediction, Y_test)\n",
    "print(\"Accuracy on training data: \", test_data_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc7d5be8",
   "metadata": {},
   "source": [
    "### Predictive System"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "9d9bc50a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>phon_R01_S07_1</td>\n",
       "      <td>197.076</td>\n",
       "      <td>206.896</td>\n",
       "      <td>192.055</td>\n",
       "      <td>0.00289</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00166</td>\n",
       "      <td>0.00168</td>\n",
       "      <td>0.00498</td>\n",
       "      <td>0.01098</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01689</td>\n",
       "      <td>0.00339</td>\n",
       "      <td>26.775</td>\n",
       "      <td>0</td>\n",
       "      <td>0.422229</td>\n",
       "      <td>0.741367</td>\n",
       "      <td>-7.348300</td>\n",
       "      <td>0.177551</td>\n",
       "      <td>1.743867</td>\n",
       "      <td>0.085569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>phon_R01_S07_2</td>\n",
       "      <td>199.228</td>\n",
       "      <td>209.512</td>\n",
       "      <td>192.091</td>\n",
       "      <td>0.00241</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00134</td>\n",
       "      <td>0.00138</td>\n",
       "      <td>0.00402</td>\n",
       "      <td>0.01015</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01513</td>\n",
       "      <td>0.00167</td>\n",
       "      <td>30.940</td>\n",
       "      <td>0</td>\n",
       "      <td>0.432439</td>\n",
       "      <td>0.742055</td>\n",
       "      <td>-7.682587</td>\n",
       "      <td>0.173319</td>\n",
       "      <td>2.103106</td>\n",
       "      <td>0.068501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>phon_R01_S07_3</td>\n",
       "      <td>198.383</td>\n",
       "      <td>215.203</td>\n",
       "      <td>193.104</td>\n",
       "      <td>0.00212</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00113</td>\n",
       "      <td>0.00135</td>\n",
       "      <td>0.00339</td>\n",
       "      <td>0.01263</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01919</td>\n",
       "      <td>0.00119</td>\n",
       "      <td>30.775</td>\n",
       "      <td>0</td>\n",
       "      <td>0.465946</td>\n",
       "      <td>0.738703</td>\n",
       "      <td>-7.067931</td>\n",
       "      <td>0.175181</td>\n",
       "      <td>1.512275</td>\n",
       "      <td>0.096320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>phon_R01_S07_4</td>\n",
       "      <td>202.266</td>\n",
       "      <td>211.604</td>\n",
       "      <td>197.079</td>\n",
       "      <td>0.00180</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.00093</td>\n",
       "      <td>0.00107</td>\n",
       "      <td>0.00278</td>\n",
       "      <td>0.00954</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01407</td>\n",
       "      <td>0.00072</td>\n",
       "      <td>32.684</td>\n",
       "      <td>0</td>\n",
       "      <td>0.368535</td>\n",
       "      <td>0.742133</td>\n",
       "      <td>-7.695734</td>\n",
       "      <td>0.178540</td>\n",
       "      <td>1.544609</td>\n",
       "      <td>0.056141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>phon_R01_S07_5</td>\n",
       "      <td>203.184</td>\n",
       "      <td>211.526</td>\n",
       "      <td>196.160</td>\n",
       "      <td>0.00178</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.00094</td>\n",
       "      <td>0.00106</td>\n",
       "      <td>0.00283</td>\n",
       "      <td>0.00958</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01403</td>\n",
       "      <td>0.00065</td>\n",
       "      <td>33.047</td>\n",
       "      <td>0</td>\n",
       "      <td>0.340068</td>\n",
       "      <td>0.741899</td>\n",
       "      <td>-7.964984</td>\n",
       "      <td>0.163519</td>\n",
       "      <td>1.423287</td>\n",
       "      <td>0.044539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>phon_R01_S07_6</td>\n",
       "      <td>201.464</td>\n",
       "      <td>210.565</td>\n",
       "      <td>195.708</td>\n",
       "      <td>0.00198</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00105</td>\n",
       "      <td>0.00115</td>\n",
       "      <td>0.00314</td>\n",
       "      <td>0.01194</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01758</td>\n",
       "      <td>0.00135</td>\n",
       "      <td>31.732</td>\n",
       "      <td>0</td>\n",
       "      <td>0.344252</td>\n",
       "      <td>0.742737</td>\n",
       "      <td>-7.777685</td>\n",
       "      <td>0.170183</td>\n",
       "      <td>2.447064</td>\n",
       "      <td>0.057610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>phon_R01_S10_1</td>\n",
       "      <td>237.226</td>\n",
       "      <td>247.326</td>\n",
       "      <td>225.227</td>\n",
       "      <td>0.00298</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00169</td>\n",
       "      <td>0.00182</td>\n",
       "      <td>0.00507</td>\n",
       "      <td>0.01752</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03104</td>\n",
       "      <td>0.00740</td>\n",
       "      <td>22.736</td>\n",
       "      <td>0</td>\n",
       "      <td>0.305062</td>\n",
       "      <td>0.654172</td>\n",
       "      <td>-7.310550</td>\n",
       "      <td>0.098648</td>\n",
       "      <td>2.416838</td>\n",
       "      <td>0.095032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>phon_R01_S10_2</td>\n",
       "      <td>241.404</td>\n",
       "      <td>248.834</td>\n",
       "      <td>232.483</td>\n",
       "      <td>0.00281</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00157</td>\n",
       "      <td>0.00173</td>\n",
       "      <td>0.00470</td>\n",
       "      <td>0.01760</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03017</td>\n",
       "      <td>0.00675</td>\n",
       "      <td>23.145</td>\n",
       "      <td>0</td>\n",
       "      <td>0.457702</td>\n",
       "      <td>0.634267</td>\n",
       "      <td>-6.793547</td>\n",
       "      <td>0.158266</td>\n",
       "      <td>2.256699</td>\n",
       "      <td>0.117399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>phon_R01_S10_3</td>\n",
       "      <td>243.439</td>\n",
       "      <td>250.912</td>\n",
       "      <td>232.435</td>\n",
       "      <td>0.00210</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.00109</td>\n",
       "      <td>0.00137</td>\n",
       "      <td>0.00327</td>\n",
       "      <td>0.01419</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02330</td>\n",
       "      <td>0.00454</td>\n",
       "      <td>25.368</td>\n",
       "      <td>0</td>\n",
       "      <td>0.438296</td>\n",
       "      <td>0.635285</td>\n",
       "      <td>-7.057869</td>\n",
       "      <td>0.091608</td>\n",
       "      <td>2.330716</td>\n",
       "      <td>0.091470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>phon_R01_S10_4</td>\n",
       "      <td>242.852</td>\n",
       "      <td>255.034</td>\n",
       "      <td>227.911</td>\n",
       "      <td>0.00225</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.00117</td>\n",
       "      <td>0.00139</td>\n",
       "      <td>0.00350</td>\n",
       "      <td>0.01494</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02542</td>\n",
       "      <td>0.00476</td>\n",
       "      <td>25.032</td>\n",
       "      <td>0</td>\n",
       "      <td>0.431285</td>\n",
       "      <td>0.638928</td>\n",
       "      <td>-6.995820</td>\n",
       "      <td>0.102083</td>\n",
       "      <td>2.365800</td>\n",
       "      <td>0.102706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>phon_R01_S10_5</td>\n",
       "      <td>245.510</td>\n",
       "      <td>262.090</td>\n",
       "      <td>231.848</td>\n",
       "      <td>0.00235</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00127</td>\n",
       "      <td>0.00148</td>\n",
       "      <td>0.00380</td>\n",
       "      <td>0.01608</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02719</td>\n",
       "      <td>0.00476</td>\n",
       "      <td>24.602</td>\n",
       "      <td>0</td>\n",
       "      <td>0.467489</td>\n",
       "      <td>0.631653</td>\n",
       "      <td>-7.156076</td>\n",
       "      <td>0.127642</td>\n",
       "      <td>2.392122</td>\n",
       "      <td>0.097336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>phon_R01_S10_6</td>\n",
       "      <td>252.455</td>\n",
       "      <td>261.487</td>\n",
       "      <td>182.786</td>\n",
       "      <td>0.00185</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.00092</td>\n",
       "      <td>0.00113</td>\n",
       "      <td>0.00276</td>\n",
       "      <td>0.01152</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01841</td>\n",
       "      <td>0.00432</td>\n",
       "      <td>26.805</td>\n",
       "      <td>0</td>\n",
       "      <td>0.610367</td>\n",
       "      <td>0.635204</td>\n",
       "      <td>-7.319510</td>\n",
       "      <td>0.200873</td>\n",
       "      <td>2.028612</td>\n",
       "      <td>0.086398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>phon_R01_S13_1</td>\n",
       "      <td>122.188</td>\n",
       "      <td>128.611</td>\n",
       "      <td>115.765</td>\n",
       "      <td>0.00524</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.00169</td>\n",
       "      <td>0.00203</td>\n",
       "      <td>0.00507</td>\n",
       "      <td>0.01613</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02566</td>\n",
       "      <td>0.00839</td>\n",
       "      <td>23.162</td>\n",
       "      <td>0</td>\n",
       "      <td>0.579597</td>\n",
       "      <td>0.733659</td>\n",
       "      <td>-6.439398</td>\n",
       "      <td>0.266392</td>\n",
       "      <td>2.079922</td>\n",
       "      <td>0.133867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>phon_R01_S13_2</td>\n",
       "      <td>122.964</td>\n",
       "      <td>130.049</td>\n",
       "      <td>114.676</td>\n",
       "      <td>0.00428</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.00124</td>\n",
       "      <td>0.00155</td>\n",
       "      <td>0.00373</td>\n",
       "      <td>0.01681</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02789</td>\n",
       "      <td>0.00462</td>\n",
       "      <td>24.971</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538688</td>\n",
       "      <td>0.754073</td>\n",
       "      <td>-6.482096</td>\n",
       "      <td>0.264967</td>\n",
       "      <td>2.054419</td>\n",
       "      <td>0.128872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>phon_R01_S13_3</td>\n",
       "      <td>124.445</td>\n",
       "      <td>135.069</td>\n",
       "      <td>117.495</td>\n",
       "      <td>0.00431</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.00141</td>\n",
       "      <td>0.00167</td>\n",
       "      <td>0.00422</td>\n",
       "      <td>0.02184</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03724</td>\n",
       "      <td>0.00479</td>\n",
       "      <td>25.135</td>\n",
       "      <td>0</td>\n",
       "      <td>0.553134</td>\n",
       "      <td>0.775933</td>\n",
       "      <td>-6.650471</td>\n",
       "      <td>0.254498</td>\n",
       "      <td>1.840198</td>\n",
       "      <td>0.103561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>phon_R01_S13_4</td>\n",
       "      <td>126.344</td>\n",
       "      <td>134.231</td>\n",
       "      <td>112.773</td>\n",
       "      <td>0.00448</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.00131</td>\n",
       "      <td>0.00169</td>\n",
       "      <td>0.00393</td>\n",
       "      <td>0.02033</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03429</td>\n",
       "      <td>0.00474</td>\n",
       "      <td>25.030</td>\n",
       "      <td>0</td>\n",
       "      <td>0.507504</td>\n",
       "      <td>0.760361</td>\n",
       "      <td>-6.689151</td>\n",
       "      <td>0.291954</td>\n",
       "      <td>2.431854</td>\n",
       "      <td>0.105993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>phon_R01_S13_5</td>\n",
       "      <td>128.001</td>\n",
       "      <td>138.052</td>\n",
       "      <td>122.080</td>\n",
       "      <td>0.00436</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.00137</td>\n",
       "      <td>0.00166</td>\n",
       "      <td>0.00411</td>\n",
       "      <td>0.02297</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03969</td>\n",
       "      <td>0.00481</td>\n",
       "      <td>24.692</td>\n",
       "      <td>0</td>\n",
       "      <td>0.459766</td>\n",
       "      <td>0.766204</td>\n",
       "      <td>-7.072419</td>\n",
       "      <td>0.220434</td>\n",
       "      <td>1.972297</td>\n",
       "      <td>0.119308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>phon_R01_S13_6</td>\n",
       "      <td>129.336</td>\n",
       "      <td>139.867</td>\n",
       "      <td>118.604</td>\n",
       "      <td>0.00490</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.00165</td>\n",
       "      <td>0.00183</td>\n",
       "      <td>0.00495</td>\n",
       "      <td>0.02498</td>\n",
       "      <td>...</td>\n",
       "      <td>0.04188</td>\n",
       "      <td>0.00484</td>\n",
       "      <td>25.429</td>\n",
       "      <td>0</td>\n",
       "      <td>0.420383</td>\n",
       "      <td>0.785714</td>\n",
       "      <td>-6.836811</td>\n",
       "      <td>0.269866</td>\n",
       "      <td>2.223719</td>\n",
       "      <td>0.147491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>phon_R01_S17_1</td>\n",
       "      <td>209.144</td>\n",
       "      <td>237.494</td>\n",
       "      <td>109.379</td>\n",
       "      <td>0.00282</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00147</td>\n",
       "      <td>0.00152</td>\n",
       "      <td>0.00442</td>\n",
       "      <td>0.01861</td>\n",
       "      <td>...</td>\n",
       "      <td>0.02925</td>\n",
       "      <td>0.00871</td>\n",
       "      <td>25.554</td>\n",
       "      <td>0</td>\n",
       "      <td>0.341788</td>\n",
       "      <td>0.678874</td>\n",
       "      <td>-7.040508</td>\n",
       "      <td>0.066994</td>\n",
       "      <td>2.460791</td>\n",
       "      <td>0.101516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>phon_R01_S17_2</td>\n",
       "      <td>223.365</td>\n",
       "      <td>238.987</td>\n",
       "      <td>98.664</td>\n",
       "      <td>0.00264</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.00154</td>\n",
       "      <td>0.00151</td>\n",
       "      <td>0.00461</td>\n",
       "      <td>0.01906</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03039</td>\n",
       "      <td>0.00301</td>\n",
       "      <td>26.138</td>\n",
       "      <td>0</td>\n",
       "      <td>0.447979</td>\n",
       "      <td>0.686264</td>\n",
       "      <td>-7.293801</td>\n",
       "      <td>0.086372</td>\n",
       "      <td>2.321560</td>\n",
       "      <td>0.098555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              name  MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "30  phon_R01_S07_1      197.076       206.896       192.055         0.00289   \n",
       "31  phon_R01_S07_2      199.228       209.512       192.091         0.00241   \n",
       "32  phon_R01_S07_3      198.383       215.203       193.104         0.00212   \n",
       "33  phon_R01_S07_4      202.266       211.604       197.079         0.00180   \n",
       "34  phon_R01_S07_5      203.184       211.526       196.160         0.00178   \n",
       "35  phon_R01_S07_6      201.464       210.565       195.708         0.00198   \n",
       "42  phon_R01_S10_1      237.226       247.326       225.227         0.00298   \n",
       "43  phon_R01_S10_2      241.404       248.834       232.483         0.00281   \n",
       "44  phon_R01_S10_3      243.439       250.912       232.435         0.00210   \n",
       "45  phon_R01_S10_4      242.852       255.034       227.911         0.00225   \n",
       "46  phon_R01_S10_5      245.510       262.090       231.848         0.00235   \n",
       "47  phon_R01_S10_6      252.455       261.487       182.786         0.00185   \n",
       "48  phon_R01_S13_1      122.188       128.611       115.765         0.00524   \n",
       "49  phon_R01_S13_2      122.964       130.049       114.676         0.00428   \n",
       "50  phon_R01_S13_3      124.445       135.069       117.495         0.00431   \n",
       "51  phon_R01_S13_4      126.344       134.231       112.773         0.00448   \n",
       "52  phon_R01_S13_5      128.001       138.052       122.080         0.00436   \n",
       "53  phon_R01_S13_6      129.336       139.867       118.604         0.00490   \n",
       "60  phon_R01_S17_1      209.144       237.494       109.379         0.00282   \n",
       "61  phon_R01_S17_2      223.365       238.987        98.664         0.00264   \n",
       "\n",
       "    MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  ...  \\\n",
       "30          0.000010   0.00166   0.00168     0.00498       0.01098  ...   \n",
       "31          0.000010   0.00134   0.00138     0.00402       0.01015  ...   \n",
       "32          0.000010   0.00113   0.00135     0.00339       0.01263  ...   \n",
       "33          0.000009   0.00093   0.00107     0.00278       0.00954  ...   \n",
       "34          0.000009   0.00094   0.00106     0.00283       0.00958  ...   \n",
       "35          0.000010   0.00105   0.00115     0.00314       0.01194  ...   \n",
       "42          0.000010   0.00169   0.00182     0.00507       0.01752  ...   \n",
       "43          0.000010   0.00157   0.00173     0.00470       0.01760  ...   \n",
       "44          0.000009   0.00109   0.00137     0.00327       0.01419  ...   \n",
       "45          0.000009   0.00117   0.00139     0.00350       0.01494  ...   \n",
       "46          0.000010   0.00127   0.00148     0.00380       0.01608  ...   \n",
       "47          0.000007   0.00092   0.00113     0.00276       0.01152  ...   \n",
       "48          0.000040   0.00169   0.00203     0.00507       0.01613  ...   \n",
       "49          0.000030   0.00124   0.00155     0.00373       0.01681  ...   \n",
       "50          0.000030   0.00141   0.00167     0.00422       0.02184  ...   \n",
       "51          0.000040   0.00131   0.00169     0.00393       0.02033  ...   \n",
       "52          0.000030   0.00137   0.00166     0.00411       0.02297  ...   \n",
       "53          0.000040   0.00165   0.00183     0.00495       0.02498  ...   \n",
       "60          0.000010   0.00147   0.00152     0.00442       0.01861  ...   \n",
       "61          0.000010   0.00154   0.00151     0.00461       0.01906  ...   \n",
       "\n",
       "    Shimmer:DDA      NHR     HNR  status      RPDE       DFA   spread1  \\\n",
       "30      0.01689  0.00339  26.775       0  0.422229  0.741367 -7.348300   \n",
       "31      0.01513  0.00167  30.940       0  0.432439  0.742055 -7.682587   \n",
       "32      0.01919  0.00119  30.775       0  0.465946  0.738703 -7.067931   \n",
       "33      0.01407  0.00072  32.684       0  0.368535  0.742133 -7.695734   \n",
       "34      0.01403  0.00065  33.047       0  0.340068  0.741899 -7.964984   \n",
       "35      0.01758  0.00135  31.732       0  0.344252  0.742737 -7.777685   \n",
       "42      0.03104  0.00740  22.736       0  0.305062  0.654172 -7.310550   \n",
       "43      0.03017  0.00675  23.145       0  0.457702  0.634267 -6.793547   \n",
       "44      0.02330  0.00454  25.368       0  0.438296  0.635285 -7.057869   \n",
       "45      0.02542  0.00476  25.032       0  0.431285  0.638928 -6.995820   \n",
       "46      0.02719  0.00476  24.602       0  0.467489  0.631653 -7.156076   \n",
       "47      0.01841  0.00432  26.805       0  0.610367  0.635204 -7.319510   \n",
       "48      0.02566  0.00839  23.162       0  0.579597  0.733659 -6.439398   \n",
       "49      0.02789  0.00462  24.971       0  0.538688  0.754073 -6.482096   \n",
       "50      0.03724  0.00479  25.135       0  0.553134  0.775933 -6.650471   \n",
       "51      0.03429  0.00474  25.030       0  0.507504  0.760361 -6.689151   \n",
       "52      0.03969  0.00481  24.692       0  0.459766  0.766204 -7.072419   \n",
       "53      0.04188  0.00484  25.429       0  0.420383  0.785714 -6.836811   \n",
       "60      0.02925  0.00871  25.554       0  0.341788  0.678874 -7.040508   \n",
       "61      0.03039  0.00301  26.138       0  0.447979  0.686264 -7.293801   \n",
       "\n",
       "     spread2        D2       PPE  \n",
       "30  0.177551  1.743867  0.085569  \n",
       "31  0.173319  2.103106  0.068501  \n",
       "32  0.175181  1.512275  0.096320  \n",
       "33  0.178540  1.544609  0.056141  \n",
       "34  0.163519  1.423287  0.044539  \n",
       "35  0.170183  2.447064  0.057610  \n",
       "42  0.098648  2.416838  0.095032  \n",
       "43  0.158266  2.256699  0.117399  \n",
       "44  0.091608  2.330716  0.091470  \n",
       "45  0.102083  2.365800  0.102706  \n",
       "46  0.127642  2.392122  0.097336  \n",
       "47  0.200873  2.028612  0.086398  \n",
       "48  0.266392  2.079922  0.133867  \n",
       "49  0.264967  2.054419  0.128872  \n",
       "50  0.254498  1.840198  0.103561  \n",
       "51  0.291954  2.431854  0.105993  \n",
       "52  0.220434  1.972297  0.119308  \n",
       "53  0.269866  2.223719  0.147491  \n",
       "60  0.066994  2.460791  0.101516  \n",
       "61  0.086372  2.321560  0.098555  \n",
       "\n",
       "[20 rows x 24 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# see those values that has doesnt have perkinsons\n",
    "parkinsons_data[parkinsons_data[\"status\"] == 0].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "da030ccd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([237.226, 247.326, 225.227, 0.00298, 1e-05, 0.00169, 0.00182,\n",
       "       0.00507, 0.01752, 0.164, 0.01035, 0.01024, 0.01133, 0.03104,\n",
       "       0.0074, 22.736, 0.305062, 0.654172, -7.31055, 0.098648, 2.416838,\n",
       "       0.095032], dtype=object)"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_data = parkinsons_data.iloc[42].drop([\"status\", \"name\"]).values\n",
    "input_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "a4d80ff6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(input_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "0063a644",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n",
      "The person does not have Perkinson's Disease.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\TanveerKader\\AppData\\Roaming\\Python\\Python311\\site-packages\\sklearn\\base.py:465: UserWarning: X does not have valid feature names, but SVC was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "input_data = (237.226, 247.326, 225.227, 0.00298, 1e-05, 0.00169, 0.00182,\n",
    "       0.00507, 0.01752, 0.164, 0.01035, 0.01024, 0.01133, 0.03104,\n",
    "       0.0074, 22.736, 0.305062, 0.654172, -7.31055, 0.098648, 2.416838,\n",
    "       0.095032)\n",
    "\n",
    "# changing input data to a numpy array\n",
    "input_data_as_numpy_arr = np.asarray(input_data)\n",
    "\n",
    "# reshape the numpy array as we're predicting for one instance\n",
    "input_data_reshaped = input_data_as_numpy_arr.reshape(1,-1)\n",
    "\n",
    "\n",
    "# standardise input predictions are comming wrong\n",
    "# standardise input\n",
    "#input_data_std = scaler.transform(input_data_reshaped)\n",
    "\n",
    "prediction = model.predict(input_data_reshaped)\n",
    "print(prediction)\n",
    "\n",
    "if(prediction[0] == 0):\n",
    "    print(\"The person does not have Perkinson's Disease.\")\n",
    "else:\n",
    "    print(\"The person has Perkinson's Disease.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03468737",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "594f8782",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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