Parkinson_detection.ipynb

{
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      "metadata": {
        "id": "vHfjXFpS1-Jq"
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      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from sklearn import svm #used for classification and regression\n",
        "from sklearn.metrics import accuracy_score #accuracy of predicted vs true labels\n",
        "from sklearn.preprocessing import StandardScaler #standardizes dataset\n",
        "from sklearn.model_selection import train_test_split #name says it all"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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              "      <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",
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              "      <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",
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              "    <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",
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              "      <th>190</th>\n",
              "      <td>phon_R01_S50_2</td>\n",
              "      <td>174.188</td>\n",
              "      <td>230.978</td>\n",
              "      <td>94.261</td>\n",
              "      <td>0.00459</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00263</td>\n",
              "      <td>0.00259</td>\n",
              "      <td>0.00790</td>\n",
              "      <td>0.04087</td>\n",
              "      <td>...</td>\n",
              "      <td>0.07008</td>\n",
              "      <td>0.02764</td>\n",
              "      <td>19.517</td>\n",
              "      <td>0</td>\n",
              "      <td>0.448439</td>\n",
              "      <td>0.657899</td>\n",
              "      <td>-6.538586</td>\n",
              "      <td>0.121952</td>\n",
              "      <td>2.657476</td>\n",
              "      <td>0.133050</td>\n",
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              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>phon_R01_S50_3</td>\n",
              "      <td>209.516</td>\n",
              "      <td>253.017</td>\n",
              "      <td>89.488</td>\n",
              "      <td>0.00564</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00331</td>\n",
              "      <td>0.00292</td>\n",
              "      <td>0.00994</td>\n",
              "      <td>0.02751</td>\n",
              "      <td>...</td>\n",
              "      <td>0.04812</td>\n",
              "      <td>0.01810</td>\n",
              "      <td>19.147</td>\n",
              "      <td>0</td>\n",
              "      <td>0.431674</td>\n",
              "      <td>0.683244</td>\n",
              "      <td>-6.195325</td>\n",
              "      <td>0.129303</td>\n",
              "      <td>2.784312</td>\n",
              "      <td>0.168895</td>\n",
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              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>phon_R01_S50_4</td>\n",
              "      <td>174.688</td>\n",
              "      <td>240.005</td>\n",
              "      <td>74.287</td>\n",
              "      <td>0.01360</td>\n",
              "      <td>0.00008</td>\n",
              "      <td>0.00624</td>\n",
              "      <td>0.00564</td>\n",
              "      <td>0.01873</td>\n",
              "      <td>0.02308</td>\n",
              "      <td>...</td>\n",
              "      <td>0.03804</td>\n",
              "      <td>0.10715</td>\n",
              "      <td>17.883</td>\n",
              "      <td>0</td>\n",
              "      <td>0.407567</td>\n",
              "      <td>0.655683</td>\n",
              "      <td>-6.787197</td>\n",
              "      <td>0.158453</td>\n",
              "      <td>2.679772</td>\n",
              "      <td>0.131728</td>\n",
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              "      <th>193</th>\n",
              "      <td>phon_R01_S50_5</td>\n",
              "      <td>198.764</td>\n",
              "      <td>396.961</td>\n",
              "      <td>74.904</td>\n",
              "      <td>0.00740</td>\n",
              "      <td>0.00004</td>\n",
              "      <td>0.00370</td>\n",
              "      <td>0.00390</td>\n",
              "      <td>0.01109</td>\n",
              "      <td>0.02296</td>\n",
              "      <td>...</td>\n",
              "      <td>0.03794</td>\n",
              "      <td>0.07223</td>\n",
              "      <td>19.020</td>\n",
              "      <td>0</td>\n",
              "      <td>0.451221</td>\n",
              "      <td>0.643956</td>\n",
              "      <td>-6.744577</td>\n",
              "      <td>0.207454</td>\n",
              "      <td>2.138608</td>\n",
              "      <td>0.123306</td>\n",
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              "      <th>194</th>\n",
              "      <td>phon_R01_S50_6</td>\n",
              "      <td>214.289</td>\n",
              "      <td>260.277</td>\n",
              "      <td>77.973</td>\n",
              "      <td>0.00567</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00295</td>\n",
              "      <td>0.00317</td>\n",
              "      <td>0.00885</td>\n",
              "      <td>0.01884</td>\n",
              "      <td>...</td>\n",
              "      <td>0.03078</td>\n",
              "      <td>0.04398</td>\n",
              "      <td>21.209</td>\n",
              "      <td>0</td>\n",
              "      <td>0.462803</td>\n",
              "      <td>0.664357</td>\n",
              "      <td>-5.724056</td>\n",
              "      <td>0.190667</td>\n",
              "      <td>2.555477</td>\n",
              "      <td>0.148569</td>\n",
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            "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",
              "190  phon_R01_S50_2      174.188       230.978        94.261         0.00459   \n",
              "191  phon_R01_S50_3      209.516       253.017        89.488         0.00564   \n",
              "192  phon_R01_S50_4      174.688       240.005        74.287         0.01360   \n",
              "193  phon_R01_S50_5      198.764       396.961        74.904         0.00740   \n",
              "194  phon_R01_S50_6      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",
              "     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",
              "190      0.07008  0.02764  19.517       0  0.448439  0.657899 -6.538586   \n",
              "191      0.04812  0.01810  19.147       0  0.431674  0.683244 -6.195325   \n",
              "192      0.03804  0.10715  17.883       0  0.407567  0.655683 -6.787197   \n",
              "193      0.03794  0.07223  19.020       0  0.451221  0.643956 -6.744577   \n",
              "194      0.03078  0.04398  21.209       0  0.462803  0.664357 -5.724056   \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",
              "190  0.121952  2.657476  0.133050  \n",
              "191  0.129303  2.784312  0.168895  \n",
              "192  0.158453  2.679772  0.131728  \n",
              "193  0.207454  2.138608  0.123306  \n",
              "194  0.190667  2.555477  0.148569  \n",
              "\n",
              "[195 rows x 24 columns]"
            ]
          },
          "execution_count": 97,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#reading our csv and assgning it to a variable\n",
        "data = pd.read_csv(\"Parkinsson disease.csv\")\n",
        "data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
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        },
        "id": "jlNWU2Mi3wG-",
        "outputId": "d62e663c-2491-42e9-9f73-ee8935109231"
      },
      "outputs": [
        {
          "data": {
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              "\n",
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              "      <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",
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              "      <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",
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              "      <th>RPDE</th>\n",
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              "      <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>\n",
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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            ],
            "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": 98,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#to give us a brief overview of what we're working with (top 5 rows)\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        },
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        "outputId": "b027b792-8843-46e4-c896-eb50b3435a16"
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          "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": [
        "#gives us info about the dataset\n",
        "data.info() "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "Kx4rgRBA4A89",
        "outputId": "02a221cb-920d-4df5-f28f-360a68c39883"
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              "      <th>MDVP:Fo(Hz)</th>\n",
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              "      <td>0.009920</td>\n",
              "      <td>0.029709</td>\n",
              "      <td>0.282251</td>\n",
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              "      <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>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9607c9bb-c2d6-4d61-82d5-d97cc1f1d886')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const element = document.querySelector('#df-9607c9bb-c2d6-4d61-82d5-d97cc1f1d886');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ],
            "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": 100,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#gives us important statistical values from the dataset\n",
        "data.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YNuPQpWJ4HAo",
        "outputId": "52ff0df1-0c07-4f2f-9b06-ab0f3919273f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(195, 24)"
            ]
          },
          "execution_count": 101,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#tells us the number of rows and columns we're working with\n",
        "data.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1xhfJDpK4J__",
        "outputId": "3a9b9ef0-fa9f-4dde-c21f-58c9c1a19954"
      },
      "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": 102,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#we do this to find the number of null values, since their sum is 0, we have a relatively clean dataset\n",
        "data.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9F6-kO1T4QZL",
        "outputId": "b3e6dff2-5e68-48c4-a319-546bf0f9194d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1    147\n",
              "0     48\n",
              "Name: status, dtype: int64"
            ]
          },
          "execution_count": 103,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#our target column/variable will be status because it tells us whether someone is affected or not\n",
        "data['status'].value_counts()\n",
        "#1 implies affected, 0 implies non affected"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "iJ_fzpFD4WZ0",
        "outputId": "084f4e68-5eab-407c-d7f1-068aefd6dc90"
      },
      "outputs": [
        {
          "data": {
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              "    <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",
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              "      <th>MDVP:RAP</th>\n",
              "      <th>MDVP:PPQ</th>\n",
              "      <th>Jitter:DDP</th>\n",
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              "      <th>MDVP:Shimmer(dB)</th>\n",
              "      <th>...</th>\n",
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              "      <th>Shimmer:DDA</th>\n",
              "      <th>NHR</th>\n",
              "      <th>HNR</th>\n",
              "      <th>RPDE</th>\n",
              "      <th>DFA</th>\n",
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              "      <th>spread2</th>\n",
              "      <th>D2</th>\n",
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              "    <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",
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              "  </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>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b264da0-538b-43ef-b6d0-ed6b51eec43b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6b264da0-538b-43ef-b6d0-ed6b51eec43b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6b264da0-538b-43ef-b6d0-ed6b51eec43b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "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": 104,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        " #group by target variable #\n",
        " data.groupby('status').mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "605WbyG85IZy",
        "outputId": "d81bfde8-afcb-49a4-bfff-9ffd9e3566d1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "\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>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",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\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>0.426</td>\n",
              "      <td>...</td>\n",
              "      <td>0.02971</td>\n",
              "      <td>0.06545</td>\n",
              "      <td>0.02211</td>\n",
              "      <td>21.033</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>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>0.626</td>\n",
              "      <td>...</td>\n",
              "      <td>0.04368</td>\n",
              "      <td>0.09403</td>\n",
              "      <td>0.01929</td>\n",
              "      <td>19.085</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>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>0.482</td>\n",
              "      <td>...</td>\n",
              "      <td>0.03590</td>\n",
              "      <td>0.08270</td>\n",
              "      <td>0.01309</td>\n",
              "      <td>20.651</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>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>0.517</td>\n",
              "      <td>...</td>\n",
              "      <td>0.03772</td>\n",
              "      <td>0.08771</td>\n",
              "      <td>0.01353</td>\n",
              "      <td>20.644</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>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>0.584</td>\n",
              "      <td>...</td>\n",
              "      <td>0.04465</td>\n",
              "      <td>0.10470</td>\n",
              "      <td>0.01767</td>\n",
              "      <td>19.649</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",
              "    <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>190</th>\n",
              "      <td>174.188</td>\n",
              "      <td>230.978</td>\n",
              "      <td>94.261</td>\n",
              "      <td>0.00459</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00263</td>\n",
              "      <td>0.00259</td>\n",
              "      <td>0.00790</td>\n",
              "      <td>0.04087</td>\n",
              "      <td>0.405</td>\n",
              "      <td>...</td>\n",
              "      <td>0.02745</td>\n",
              "      <td>0.07008</td>\n",
              "      <td>0.02764</td>\n",
              "      <td>19.517</td>\n",
              "      <td>0.448439</td>\n",
              "      <td>0.657899</td>\n",
              "      <td>-6.538586</td>\n",
              "      <td>0.121952</td>\n",
              "      <td>2.657476</td>\n",
              "      <td>0.133050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>209.516</td>\n",
              "      <td>253.017</td>\n",
              "      <td>89.488</td>\n",
              "      <td>0.00564</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00331</td>\n",
              "      <td>0.00292</td>\n",
              "      <td>0.00994</td>\n",
              "      <td>0.02751</td>\n",
              "      <td>0.263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.01879</td>\n",
              "      <td>0.04812</td>\n",
              "      <td>0.01810</td>\n",
              "      <td>19.147</td>\n",
              "      <td>0.431674</td>\n",
              "      <td>0.683244</td>\n",
              "      <td>-6.195325</td>\n",
              "      <td>0.129303</td>\n",
              "      <td>2.784312</td>\n",
              "      <td>0.168895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>174.688</td>\n",
              "      <td>240.005</td>\n",
              "      <td>74.287</td>\n",
              "      <td>0.01360</td>\n",
              "      <td>0.00008</td>\n",
              "      <td>0.00624</td>\n",
              "      <td>0.00564</td>\n",
              "      <td>0.01873</td>\n",
              "      <td>0.02308</td>\n",
              "      <td>0.256</td>\n",
              "      <td>...</td>\n",
              "      <td>0.01667</td>\n",
              "      <td>0.03804</td>\n",
              "      <td>0.10715</td>\n",
              "      <td>17.883</td>\n",
              "      <td>0.407567</td>\n",
              "      <td>0.655683</td>\n",
              "      <td>-6.787197</td>\n",
              "      <td>0.158453</td>\n",
              "      <td>2.679772</td>\n",
              "      <td>0.131728</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>198.764</td>\n",
              "      <td>396.961</td>\n",
              "      <td>74.904</td>\n",
              "      <td>0.00740</td>\n",
              "      <td>0.00004</td>\n",
              "      <td>0.00370</td>\n",
              "      <td>0.00390</td>\n",
              "      <td>0.01109</td>\n",
              "      <td>0.02296</td>\n",
              "      <td>0.241</td>\n",
              "      <td>...</td>\n",
              "      <td>0.01588</td>\n",
              "      <td>0.03794</td>\n",
              "      <td>0.07223</td>\n",
              "      <td>19.020</td>\n",
              "      <td>0.451221</td>\n",
              "      <td>0.643956</td>\n",
              "      <td>-6.744577</td>\n",
              "      <td>0.207454</td>\n",
              "      <td>2.138608</td>\n",
              "      <td>0.123306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>214.289</td>\n",
              "      <td>260.277</td>\n",
              "      <td>77.973</td>\n",
              "      <td>0.00567</td>\n",
              "      <td>0.00003</td>\n",
              "      <td>0.00295</td>\n",
              "      <td>0.00317</td>\n",
              "      <td>0.00885</td>\n",
              "      <td>0.01884</td>\n",
              "      <td>0.190</td>\n",
              "      <td>...</td>\n",
              "      <td>0.01373</td>\n",
              "      <td>0.03078</td>\n",
              "      <td>0.04398</td>\n",
              "      <td>21.209</td>\n",
              "      <td>0.462803</td>\n",
              "      <td>0.664357</td>\n",
              "      <td>-5.724056</td>\n",
              "      <td>0.190667</td>\n",
              "      <td>2.555477</td>\n",
              "      <td>0.148569</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>195 rows × 22 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d66f166-e6f4-4869-8495-dd86d2b2f7d6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "\n",
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              "          document.querySelector('#df-9d66f166-e6f4-4869-8495-dd86d2b2f7d6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
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              "\n",
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              "          const element = document.querySelector('#df-9d66f166-e6f4-4869-8495-dd86d2b2f7d6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     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]"
            ]
          },
          "execution_count": 105,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#we're dropping name and status columns because they aren't necessary data for prediction\n",
        "x = data.drop(columns = ['name', 'status'], axis = 1)\n",
        "x"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gbBTatyg5lxg",
        "outputId": "a0dfe7d0-bd4b-49ee-dbc0-f19a9f02ce8a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "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: int64"
            ]
          },
          "execution_count": 106,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#status is our dependent variable\n",
        "y = data['status']\n",
        "y"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rlhu2dfs5zt5"
      },
      "outputs": [],
      "source": [
        "#we're doing this to split our data into training and testing\n",
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size= 0.4)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pGBOa3_x6bNp",
        "outputId": "7bbfa316-b8cc-4a86-de27-7c0ba26a6533"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(195, 22) (117, 22) (78, 22)\n"
          ]
        }
      ],
      "source": [
        "#this tells us the rows and columns of independent variables, training and test\n",
        "print(x.shape, x_train.shape, x_test.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EW239MYb6h5e"
      },
      "outputs": [],
      "source": [
        "#data standardization\n",
        "stanscal = StandardScaler()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9-EZRUeO6prI",
        "outputId": "a8e524e1-bd71-478d-d94f-d28bf5e09024"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "StandardScaler()"
            ]
          },
          "execution_count": 110,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "stanscal.fit(x_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "O7yyfE6N6xf1"
      },
      "outputs": [],
      "source": [
        "#we're making our standardized values the x training and testing data\n",
        "x_train = stanscal.transform(x_train)\n",
        "x_test = stanscal.transform(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZvCgWv8V7BcP",
        "outputId": "dd23d0cb-fa0a-4e99-8cd0-c2d219ff246e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[-0.07108431, -0.43300236,  0.35023669, ..., -0.84209832,\n",
              "        -0.19515375, -1.07844159],\n",
              "       [ 0.9040816 ,  0.23835758, -0.81988983, ...,  0.64606775,\n",
              "         0.69074631, -0.18550377],\n",
              "       [-0.02323012, -0.39487777,  0.25593197, ..., -1.04270996,\n",
              "        -0.85244617, -1.35614122],\n",
              "       ...,\n",
              "       [-0.23301399,  0.09785129, -0.81232052, ..., -1.2549754 ,\n",
              "        -1.70324837,  0.28348543],\n",
              "       [ 1.26175252,  0.82288252, -0.56375768, ...,  0.77519274,\n",
              "         0.850908  ,  0.39750469],\n",
              "       [ 1.1301416 ,  0.66087906,  1.0473035 , ..., -0.08622907,\n",
              "         0.59932029, -0.51325694]])"
            ]
          },
          "execution_count": 112,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rLNmHkxF7Doo",
        "outputId": "0305bfc3-bc4d-4ddc-8b55-824a84ed8a7e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[ 0.50347495, -0.06497248,  1.03385684, ..., -0.3920275 ,\n",
              "         0.48559595, -0.34310784],\n",
              "       [-0.91014851, -0.68648921, -0.12821059, ...,  1.3456482 ,\n",
              "         0.1135603 ,  2.13497246],\n",
              "       [ 0.28292745,  0.10901002, -0.83736604, ..., -1.40951422,\n",
              "        -1.0493845 , -0.04793884],\n",
              "       ...,\n",
              "       [ 0.5061124 ,  0.47899301,  0.18889904, ...,  0.90928698,\n",
              "         2.18999261,  0.26135757],\n",
              "       [ 1.03127302,  0.32042701,  1.69149644, ..., -0.65928267,\n",
              "        -2.42384534, -1.31655665],\n",
              "       [-0.06785285, -0.3792269 , -0.90228401, ..., -0.68023174,\n",
              "        -0.81084913, -0.50019289]])"
            ]
          },
          "execution_count": 113,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x_test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sadO957o7E0C"
      },
      "outputs": [],
      "source": [
        "#we train our model using svm\n",
        "model = svm.SVC(kernel = 'linear')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rhLNh6X57pHL",
        "outputId": "daeb9c31-3e41-4afa-ef48-6c0a94aba72f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "SVC(kernel='linear')"
            ]
          },
          "execution_count": 115,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.fit(x_train, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Fv4sY2v7sv7",
        "outputId": "0149f8ae-1eea-4734-8f2a-3dad1ee5beb0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9316239316239316"
            ]
          },
          "execution_count": 116,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#model evaluation: tests the accuracy of our train wrt dependent y training variables\n",
        "x_train_pred = model.predict(x_train)\n",
        "train_data_accu = accuracy_score(y_train, x_train_pred)\n",
        "train_data_accu"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9qcDFV7B7zic",
        "outputId": "c3db2cda-3cc5-4966-dc8b-848ced1b9793"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.8974358974358975"
            ]
          },
          "execution_count": 117,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#model evaluation: tests the accuracy of our test wrt dependent y test variables\n",
        "x_test_pred = model.predict(x_test)\n",
        "test_data_accu = accuracy_score(y_test, x_test_pred)\n",
        "test_data_accu"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SUljvUo58ZXX",
        "outputId": "218843df-39d1-42a8-c5c5-4a808ea726c3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[1]\n",
            "Positive, you have Parkinson's\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/base.py:451: UserWarning: X does not have valid feature names, but StandardScaler was fitted with feature names\n",
            "  \"X does not have valid feature names, but\"\n"
          ]
        }
      ],
      "source": [
        "input_data = (120.552,131.162,113.787,0.00968,0.00008,0.00463,0.0075,0.01388,0.04701,0.456,0.02328,0.03526,0.03243,0.06985,0.01222,21.378,0.415564,0.825069,-4.242867,0.299111,2.18756,0.357775)\n",
        "input_data_np = np.asarray(input_data) #changing input into a numpy array\n",
        "input_data_re = input_data_np.reshape(1, -1)  #reshaping the array\n",
        "s_data = stanscal.transform(input_data_re)  #standardizing the data (ie the reshaped input)\n",
        "pred = model.predict(s_data) #prediction time\n",
        "print(pred)\n",
        "if(pred[0]==0):\n",
        "  print(\"Negative, no Parkinson's\")\n",
        "else:\n",
        "  print(\"Positive, you have Parkinson's\")"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}