Prediction_RandomForest_Draft.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Read the dataset and print the head."
      ],
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        "id": "Nwz_rnTk25DM"
      }
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      "cell_type": "code",
      "source": [
        "train_data = pd.read_csv('/content/DARWIN_train.csv')\n",
        "test_data = pd.read_csv('/content/DARWIN_test.csv')\n",
        "#train_data.head()\n",
        "test_data.head()"
      ],
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              "     ID  air_time1  disp_index1  gmrt_in_air1  gmrt_on_paper1  \\\n",
              "0  id_1       5160     0.000013    120.804174       86.853334   \n",
              "1  id_2      51980     0.000016    115.318238       83.448681   \n",
              "2  id_3       2600     0.000010    229.933997      172.761858   \n",
              "3  id_4       2130     0.000010    369.403342      183.193104   \n",
              "4  id_5       2310     0.000007    257.997131      111.275889   \n",
              "\n",
              "   max_x_extension1  max_y_extension1  mean_acc_in_air1  mean_acc_on_paper1  \\\n",
              "0               957              6601          0.361800            0.217459   \n",
              "1              1694              6998          0.272513            0.144880   \n",
              "2              2333              5802          0.387020            0.181342   \n",
              "3              1756              8159          0.556879            0.164502   \n",
              "4               987              4732          0.266077            0.145104   \n",
              "\n",
              "   mean_gmrt1  ...  mean_jerk_in_air25  mean_jerk_on_paper25  \\\n",
              "0  103.828754  ...            0.141434              0.024471   \n",
              "1   99.383459  ...            0.049663              0.018368   \n",
              "2  201.347928  ...            0.178194              0.017174   \n",
              "3  276.298223  ...            0.113905              0.019860   \n",
              "4  184.636510  ...            0.121782              0.020872   \n",
              "\n",
              "   mean_speed_in_air25  mean_speed_on_paper25  num_of_pendown25  paper_time25  \\\n",
              "0             5.596487               3.184589                71         40120   \n",
              "1             1.665973               0.950249               129        126700   \n",
              "2             4.000781               2.392521                74         45480   \n",
              "3             4.206746               1.613522               123         67945   \n",
              "4             3.319036               1.680629                92         37285   \n",
              "\n",
              "   pressure_mean25  pressure_var25  total_time25  class  \n",
              "0      1749.278166     296102.7676        144605      P  \n",
              "1      1504.768272     278744.2850        298640      P  \n",
              "2      1431.443492     144411.7055         79025      P  \n",
              "3      1465.843329     230184.7154        181220      P  \n",
              "4      1841.702561     158290.0255         72575      P  \n",
              "\n",
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    {
      "cell_type": "markdown",
      "source": [
        "This part is just a try.. I searched for a random machine leraning alrorithm to try to bulid a model, and the accuracy is not good.\n",
        "\n",
        "Improve the model is one of the toughest task i think."
      ],
      "metadata": {
        "id": "AwKaFSN709bL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "y = train_data['class']\n",
        "\n",
        "#features = ['air_time1','disp_index1','gmrt_in_air1','gmrt_on_paper1','max_x_extension1','max_y_extension1','mean_acc_in_air1','mean_acc_on_paper1','mean_gmrt1','mean_jerk_in_air1','mean_jerk_on_paper1','mean_speed_in_air1','mean_speed_on_paper1','num_of_pendown1','paper_time1','pressure_mean1','pressure_var1','total_time1']\n",
        "#features = ['total_time1', 'total_time2','total_time3','total_time4','total_time5','total_time6','total_time7','total_time8','total_time9','total_time10','total_time11','total_time12','total_time13','total_time14','total_time15','total_time16','total_time17','total_time18','total_time19','total_time20','total_time21','total_time22','total_time23','total_time24','total_time25',]\n",
        "#all the columns\n",
        "features = train_data.columns.tolist()\n",
        "features.remove('class')\n",
        "features.remove('ID')\n",
        "\n",
        "X = pd.get_dummies(train_data[features])\n",
        "X_test = pd.get_dummies(test_data[features])\n",
        "#Randow Forest Classifier\n",
        "model = RandomForestClassifier(n_estimators = 100, max_depth = 10, random_state = 1)\n",
        "model.fit(X,y)\n",
        "predictions = model.predict(X_test)\n",
        "#predictions file\n",
        "output = pd.DataFrame({'ID':test_data.ID, 'class':predictions})\n",
        "output.to_csv('/submission2.csv',index=False)\n",
        "print('saved')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w2MyKfcAwa0_",
        "outputId": "1a270852-ad18-4da4-fe52-9d4d0a155315"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "saved\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This part is to print out the \"importance\" value of every attributes in the CSV file in descending order.\n",
        "Then, we can select some of the \"TOP\" important task to be the question for the small test of AD."
      ],
      "metadata": {
        "id": "MQR-7bqu2L69"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "importances = list(model.feature_importances_)\n",
        "feature_importances = [(feature, round(importance, 7)) for feature, importance in zip(features, importances)]\n",
        "feature_importances = sorted(feature_importances, key=lambda x: x[1], reverse=True)\n",
        "\n",
        "# Print the feature importance rank\n",
        "print(\"Feature importance rank:\")\n",
        "for feature, importance in feature_importances:\n",
        "    print(f\"{feature}: {importance}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tX8NawyfBSra",
        "outputId": "d5211477-4f4c-466f-c02e-48b64ac5f9b5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Feature importance rank:\n",
            "total_time17: 0.0293597\n",
            "num_of_pendown19: 0.0243667\n",
            "total_time9: 0.0189938\n",
            "air_time7: 0.0180955\n",
            "paper_time23: 0.0174293\n",
            "total_time7: 0.0155208\n",
            "mean_acc_in_air17: 0.0152832\n",
            "air_time23: 0.0152632\n",
            "pressure_var19: 0.0150872\n",
            "total_time23: 0.0150518\n",
            "total_time15: 0.0147477\n",
            "air_time17: 0.0144979\n",
            "air_time15: 0.0143976\n",
            "total_time16: 0.0139204\n",
            "paper_time17: 0.0132298\n",
            "total_time3: 0.0126381\n",
            "air_time13: 0.0126293\n",
            "air_time22: 0.0120461\n",
            "mean_gmrt17: 0.011018\n",
            "mean_speed_in_air23: 0.010975\n",
            "pressure_mean5: 0.0108213\n",
            "paper_time7: 0.0104895\n",
            "paper_time11: 0.0098667\n",
            "pressure_mean19: 0.0094847\n",
            "paper_time8: 0.0094718\n",
            "disp_index22: 0.0086611\n",
            "paper_time6: 0.0080976\n",
            "paper_time15: 0.0080591\n",
            "gmrt_in_air7: 0.0079738\n",
            "mean_jerk_in_air17: 0.0077828\n",
            "disp_index17: 0.0073526\n",
            "paper_time9: 0.0072813\n",
            "pressure_mean21: 0.0072603\n",
            "max_y_extension20: 0.0069565\n",
            "mean_jerk_in_air7: 0.0069199\n",
            "pressure_var5: 0.0068799\n",
            "pressure_mean4: 0.0064617\n",
            "paper_time20: 0.0064302\n",
            "mean_speed_in_air7: 0.0064246\n",
            "mean_gmrt23: 0.0062274\n",
            "paper_time25: 0.0061779\n",
            "mean_speed_on_paper2: 0.0059106\n",
            "disp_index6: 0.0058757\n",
            "max_y_extension21: 0.0056605\n",
            "paper_time22: 0.0056349\n",
            "paper_time10: 0.0055463\n",
            "total_time6: 0.0054922\n",
            "pressure_mean7: 0.0054557\n",
            "air_time16: 0.0053332\n",
            "pressure_mean1: 0.0052081\n",
            "total_time8: 0.0049226\n",
            "mean_speed_in_air17: 0.0049191\n",
            "disp_index23: 0.0049046\n",
            "total_time2: 0.004885\n",
            "total_time12: 0.004852\n",
            "gmrt_on_paper10: 0.0047045\n",
            "mean_gmrt7: 0.0046927\n",
            "total_time24: 0.0046906\n",
            "air_time18: 0.0044915\n",
            "mean_speed_on_paper3: 0.0044673\n",
            "total_time20: 0.004438\n",
            "mean_speed_on_paper1: 0.0044076\n",
            "num_of_pendown9: 0.0043551\n",
            "gmrt_in_air23: 0.0042267\n",
            "pressure_var4: 0.0041776\n",
            "mean_jerk_on_paper24: 0.0041148\n",
            "gmrt_in_air17: 0.0040224\n",
            "mean_acc_on_paper14: 0.0039999\n",
            "mean_gmrt25: 0.0039616\n",
            "paper_time24: 0.00388\n",
            "paper_time19: 0.0038365\n",
            "max_y_extension25: 0.0038164\n",
            "mean_acc_in_air23: 0.0037397\n",
            "total_time22: 0.0036696\n",
            "gmrt_on_paper20: 0.0036497\n",
            "max_x_extension21: 0.0036139\n",
            "pressure_mean10: 0.003559\n",
            "disp_index19: 0.0034826\n",
            "mean_gmrt14: 0.0034768\n",
            "paper_time2: 0.0034739\n",
            "max_x_extension25: 0.0034532\n",
            "paper_time18: 0.0034496\n",
            "disp_index25: 0.0034447\n",
            "mean_acc_on_paper24: 0.0033759\n",
            "mean_jerk_on_paper19: 0.0033579\n",
            "disp_index15: 0.0033432\n",
            "air_time11: 0.0033378\n",
            "pressure_mean9: 0.0033352\n",
            "total_time18: 0.0032906\n",
            "gmrt_in_air12: 0.0032782\n",
            "disp_index9: 0.0031494\n",
            "disp_index7: 0.0031272\n",
            "mean_speed_on_paper10: 0.0030713\n",
            "gmrt_on_paper11: 0.0030636\n",
            "air_time6: 0.0030453\n",
            "total_time5: 0.0030283\n",
            "max_y_extension19: 0.0029957\n",
            "pressure_mean6: 0.0029881\n",
            "disp_index21: 0.0029581\n",
            "air_time5: 0.0029266\n",
            "pressure_var3: 0.0028693\n",
            "mean_speed_on_paper20: 0.0028603\n",
            "gmrt_on_paper13: 0.0027859\n",
            "num_of_pendown7: 0.0026741\n",
            "max_y_extension9: 0.0026567\n",
            "mean_speed_in_air19: 0.002644\n",
            "mean_gmrt22: 0.0026221\n",
            "disp_index14: 0.002539\n",
            "max_y_extension2: 0.0024478\n",
            "air_time1: 0.0024193\n",
            "pressure_var17: 0.0024116\n",
            "mean_acc_in_air25: 0.0023858\n",
            "mean_speed_on_paper19: 0.0023292\n",
            "air_time8: 0.002306\n",
            "mean_jerk_in_air2: 0.0022209\n",
            "gmrt_in_air2: 0.0022127\n",
            "mean_speed_on_paper15: 0.0021082\n",
            "mean_gmrt2: 0.0021075\n",
            "pressure_mean11: 0.0020998\n",
            "mean_jerk_in_air13: 0.0020925\n",
            "mean_speed_on_paper23: 0.0020109\n",
            "max_x_extension13: 0.0020092\n",
            "air_time4: 0.001916\n",
            "mean_speed_in_air15: 0.0019147\n",
            "pressure_mean16: 0.0019147\n",
            "pressure_mean12: 0.0019046\n",
            "disp_index8: 0.0018978\n",
            "max_x_extension22: 0.001894\n",
            "mean_speed_in_air4: 0.0018933\n",
            "max_x_extension24: 0.0018902\n",
            "total_time14: 0.0018242\n",
            "mean_acc_in_air3: 0.0018135\n",
            "mean_jerk_on_paper3: 0.0018111\n",
            "gmrt_on_paper23: 0.0017954\n",
            "pressure_mean8: 0.0017885\n",
            "gmrt_on_paper17: 0.0017804\n",
            "max_y_extension24: 0.0017773\n",
            "mean_acc_in_air7: 0.0017704\n",
            "pressure_mean2: 0.0017443\n",
            "max_y_extension13: 0.0017357\n",
            "max_y_extension15: 0.0017092\n",
            "mean_speed_in_air25: 0.0017067\n",
            "max_x_extension12: 0.0016912\n",
            "num_of_pendown13: 0.0016876\n",
            "mean_jerk_on_paper25: 0.0016848\n",
            "air_time21: 0.0016771\n",
            "pressure_mean18: 0.0016604\n",
            "mean_acc_in_air20: 0.0016601\n",
            "pressure_mean25: 0.0016427\n",
            "mean_acc_on_paper1: 0.0016404\n",
            "mean_acc_on_paper17: 0.0015917\n",
            "mean_jerk_on_paper21: 0.0015903\n",
            "mean_jerk_in_air25: 0.0015873\n",
            "mean_jerk_on_paper15: 0.0015817\n",
            "air_time2: 0.001559\n",
            "max_x_extension1: 0.001554\n",
            "mean_jerk_on_paper6: 0.0015523\n",
            "air_time3: 0.0015468\n",
            "mean_jerk_on_paper9: 0.0015455\n",
            "total_time21: 0.0015365\n",
            "mean_speed_on_paper8: 0.001531\n",
            "paper_time21: 0.0015223\n",
            "gmrt_on_paper22: 0.0015165\n",
            "max_x_extension10: 0.0015124\n",
            "mean_acc_in_air22: 0.0015113\n",
            "gmrt_in_air18: 0.0014922\n",
            "num_of_pendown21: 0.0014827\n",
            "disp_index2: 0.0014811\n",
            "max_x_extension3: 0.0014751\n",
            "gmrt_on_paper8: 0.0014653\n",
            "max_x_extension14: 0.0014468\n",
            "gmrt_on_paper25: 0.0014171\n",
            "mean_acc_on_paper7: 0.0014148\n",
            "gmrt_on_paper9: 0.0014082\n",
            "mean_jerk_on_paper22: 0.001384\n",
            "mean_speed_in_air21: 0.0013773\n",
            "mean_speed_on_paper22: 0.0013717\n",
            "mean_speed_in_air1: 0.0013692\n",
            "air_time12: 0.0013663\n",
            "pressure_var24: 0.0013648\n",
            "mean_jerk_in_air18: 0.0013577\n",
            "mean_speed_on_paper17: 0.0013536\n",
            "mean_gmrt20: 0.0013458\n",
            "pressure_mean20: 0.0013409\n",
            "num_of_pendown10: 0.0013367\n",
            "mean_acc_on_paper12: 0.0013149\n",
            "gmrt_in_air4: 0.0012992\n",
            "mean_jerk_in_air24: 0.0012909\n",
            "mean_acc_in_air2: 0.0012872\n",
            "paper_time14: 0.0012666\n",
            "mean_acc_on_paper18: 0.0012631\n",
            "pressure_var15: 0.0012524\n",
            "pressure_mean22: 0.0012451\n",
            "gmrt_in_air8: 0.0012188\n",
            "mean_jerk_in_air1: 0.0012115\n",
            "pressure_mean17: 0.0012085\n",
            "pressure_var20: 0.0011972\n",
            "disp_index5: 0.0011743\n",
            "gmrt_in_air14: 0.0011685\n",
            "gmrt_in_air3: 0.0011648\n",
            "mean_acc_on_paper5: 0.0011603\n",
            "total_time1: 0.0011573\n",
            "pressure_mean3: 0.0011432\n",
            "num_of_pendown3: 0.001139\n",
            "mean_speed_in_air22: 0.0011344\n",
            "max_x_extension18: 0.0011189\n",
            "mean_jerk_on_paper4: 0.0011186\n",
            "mean_speed_on_paper18: 0.0011147\n",
            "mean_gmrt10: 0.0010981\n",
            "gmrt_on_paper2: 0.0010748\n",
            "mean_acc_on_paper23: 0.0010549\n",
            "pressure_var23: 0.0010497\n",
            "mean_gmrt8: 0.0010496\n",
            "mean_gmrt19: 0.0010496\n",
            "max_x_extension23: 0.0010334\n",
            "mean_acc_on_paper21: 0.0010325\n",
            "gmrt_on_paper5: 0.0010303\n",
            "pressure_var22: 0.0010254\n",
            "mean_acc_in_air1: 0.0010025\n",
            "mean_jerk_in_air9: 0.0009979\n",
            "mean_gmrt24: 0.0009884\n",
            "max_x_extension7: 0.0009798\n",
            "disp_index12: 0.0009706\n",
            "max_x_extension9: 0.0009648\n",
            "mean_gmrt1: 0.0009587\n",
            "mean_jerk_in_air22: 0.0009586\n",
            "pressure_mean13: 0.000955\n",
            "max_y_extension3: 0.0009525\n",
            "max_y_extension14: 0.0009521\n",
            "mean_acc_on_paper20: 0.0009365\n",
            "mean_speed_in_air8: 0.0009327\n",
            "num_of_pendown22: 0.0009311\n",
            "max_y_extension1: 0.0009306\n",
            "pressure_mean14: 0.0009279\n",
            "mean_acc_on_paper15: 0.000923\n",
            "mean_gmrt13: 0.0009196\n",
            "gmrt_on_paper19: 0.0009191\n",
            "gmrt_in_air6: 0.0009181\n",
            "paper_time12: 0.0009132\n",
            "mean_speed_in_air2: 0.0009106\n",
            "num_of_pendown25: 0.0009045\n",
            "disp_index3: 0.0009006\n",
            "gmrt_in_air19: 0.0008918\n",
            "max_x_extension19: 0.00089\n",
            "mean_gmrt12: 0.0008784\n",
            "max_x_extension20: 0.0008754\n",
            "mean_speed_on_paper6: 0.0008691\n",
            "mean_speed_on_paper25: 0.000852\n",
            "mean_speed_in_air6: 0.0008401\n",
            "gmrt_in_air20: 0.0008376\n",
            "disp_index11: 0.0008374\n",
            "pressure_var12: 0.0008302\n",
            "pressure_var7: 0.0008098\n",
            "mean_jerk_in_air4: 0.0008078\n",
            "mean_acc_in_air16: 0.0008078\n",
            "mean_jerk_on_paper23: 0.0008071\n",
            "max_y_extension10: 0.0008014\n",
            "max_x_extension4: 0.0007932\n",
            "gmrt_in_air1: 0.0007739\n",
            "mean_speed_in_air18: 0.000768\n",
            "mean_jerk_on_paper11: 0.0007588\n",
            "mean_jerk_in_air3: 0.000749\n",
            "mean_gmrt15: 0.000742\n",
            "mean_acc_on_paper6: 0.0007401\n",
            "mean_jerk_on_paper17: 0.0007388\n",
            "mean_speed_on_paper11: 0.0007371\n",
            "mean_acc_on_paper16: 0.0007317\n",
            "gmrt_in_air11: 0.0007272\n",
            "pressure_var10: 0.0007059\n",
            "mean_speed_on_paper7: 0.0006996\n",
            "mean_acc_in_air15: 0.0006981\n",
            "paper_time3: 0.0006966\n",
            "max_y_extension23: 0.0006919\n",
            "max_y_extension16: 0.0006885\n",
            "mean_jerk_on_paper16: 0.0006844\n",
            "total_time10: 0.0006747\n",
            "pressure_var6: 0.0006622\n",
            "max_y_extension17: 0.0006619\n",
            "pressure_var2: 0.000657\n",
            "num_of_pendown24: 0.0006517\n",
            "mean_jerk_in_air21: 0.0006474\n",
            "gmrt_in_air15: 0.0006374\n",
            "disp_index16: 0.0006271\n",
            "num_of_pendown20: 0.0006235\n",
            "gmrt_on_paper1: 0.0006139\n",
            "num_of_pendown15: 0.0006104\n",
            "total_time4: 0.0006094\n",
            "paper_time4: 0.0006047\n",
            "paper_time16: 0.0006035\n",
            "max_x_extension8: 0.0005936\n",
            "mean_gmrt5: 0.0005892\n",
            "pressure_var13: 0.0005888\n",
            "paper_time1: 0.0005801\n",
            "air_time14: 0.0005644\n",
            "max_y_extension5: 0.0005572\n",
            "air_time19: 0.0005206\n",
            "gmrt_in_air5: 0.000514\n",
            "gmrt_in_air13: 0.0005111\n",
            "mean_gmrt21: 0.0005012\n",
            "air_time25: 0.0005012\n",
            "mean_acc_in_air12: 0.0004996\n",
            "mean_speed_in_air14: 0.0004988\n",
            "gmrt_on_paper24: 0.0004971\n",
            "num_of_pendown18: 0.0004931\n",
            "mean_speed_in_air12: 0.0004915\n",
            "gmrt_on_paper12: 0.00049\n",
            "mean_jerk_on_paper13: 0.0004891\n",
            "num_of_pendown12: 0.0004868\n",
            "mean_jerk_in_air11: 0.0004793\n",
            "pressure_var16: 0.0004762\n",
            "air_time24: 0.0004717\n",
            "pressure_var14: 0.0004714\n",
            "gmrt_on_paper14: 0.0004575\n",
            "mean_acc_in_air4: 0.000456\n",
            "max_y_extension6: 0.0004497\n",
            "mean_gmrt9: 0.0004456\n",
            "max_y_extension7: 0.0004084\n",
            "gmrt_in_air22: 0.0004074\n",
            "mean_jerk_on_paper12: 0.0003902\n",
            "disp_index20: 0.0003902\n",
            "mean_jerk_on_paper10: 0.0003813\n",
            "mean_jerk_in_air16: 0.0003774\n",
            "mean_acc_in_air5: 0.0003762\n",
            "mean_jerk_in_air8: 0.0003726\n",
            "mean_jerk_in_air5: 0.0003693\n",
            "max_x_extension16: 0.0003512\n",
            "mean_speed_on_paper5: 0.0003511\n",
            "mean_acc_in_air11: 0.0003463\n",
            "mean_gmrt4: 0.0003364\n",
            "mean_speed_on_paper12: 0.0003313\n",
            "mean_acc_in_air10: 0.0003287\n",
            "mean_speed_on_paper14: 0.0003268\n",
            "max_x_extension2: 0.0002832\n",
            "max_y_extension11: 0.0002626\n",
            "disp_index24: 0.0002608\n",
            "total_time25: 0.0002604\n",
            "mean_jerk_in_air20: 0.0002591\n",
            "num_of_pendown5: 0.0002579\n",
            "mean_speed_on_paper24: 0.0002567\n",
            "gmrt_in_air21: 0.0002565\n",
            "air_time9: 0.0002564\n",
            "mean_acc_on_paper4: 0.0002563\n",
            "disp_index13: 0.0002563\n",
            "mean_speed_in_air13: 0.0002559\n",
            "num_of_pendown2: 0.0002554\n",
            "mean_acc_on_paper13: 0.0002551\n",
            "max_y_extension22: 0.0002518\n",
            "num_of_pendown16: 0.0002515\n",
            "num_of_pendown6: 0.00025\n",
            "mean_jerk_on_paper18: 0.0002497\n",
            "num_of_pendown8: 0.0002491\n",
            "max_x_extension15: 0.0002489\n",
            "max_y_extension4: 0.0002479\n",
            "max_x_extension5: 0.0002477\n",
            "num_of_pendown17: 0.0002477\n",
            "gmrt_on_paper21: 0.0002443\n",
            "gmrt_on_paper6: 0.0002412\n",
            "mean_acc_in_air24: 0.0002411\n",
            "pressure_mean15: 0.000241\n",
            "total_time19: 0.0002391\n",
            "num_of_pendown1: 0.0002334\n",
            "mean_jerk_in_air15: 0.0002289\n",
            "max_x_extension11: 0.0002232\n",
            "mean_acc_in_air14: 0.0002228\n",
            "mean_acc_on_paper2: 0.0002121\n",
            "mean_jerk_in_air19: 0.0002081\n",
            "mean_jerk_on_paper2: 0.0002078\n",
            "mean_acc_on_paper19: 0.0001953\n",
            "mean_jerk_on_paper7: 0.0001951\n",
            "mean_acc_on_paper9: 0.0001951\n",
            "mean_speed_on_paper21: 0.0001951\n",
            "mean_jerk_on_paper1: 0.0001949\n",
            "gmrt_on_paper3: 0.00018\n",
            "mean_acc_in_air6: 0.0001756\n",
            "num_of_pendown23: 0.0001756\n",
            "gmrt_in_air9: 0.0001746\n",
            "mean_speed_on_paper13: 0.0001746\n",
            "gmrt_on_paper7: 0.0001739\n",
            "mean_jerk_in_air12: 0.0001739\n",
            "mean_gmrt11: 0.0001732\n",
            "pressure_mean23: 0.0001732\n",
            "mean_acc_in_air21: 0.000131\n",
            "mean_acc_in_air13: 0.0001301\n",
            "mean_jerk_on_paper5: 0.0001299\n",
            "pressure_var9: 0.0001275\n",
            "mean_jerk_in_air23: 0.000113\n",
            "mean_acc_on_paper8: 6.09e-05\n",
            "gmrt_on_paper15: 4.69e-05\n",
            "disp_index1: 0.0\n",
            "pressure_var1: 0.0\n",
            "mean_acc_on_paper3: 0.0\n",
            "mean_gmrt3: 0.0\n",
            "mean_speed_in_air3: 0.0\n",
            "disp_index4: 0.0\n",
            "gmrt_on_paper4: 0.0\n",
            "mean_speed_on_paper4: 0.0\n",
            "num_of_pendown4: 0.0\n",
            "mean_speed_in_air5: 0.0\n",
            "paper_time5: 0.0\n",
            "max_x_extension6: 0.0\n",
            "mean_gmrt6: 0.0\n",
            "mean_jerk_in_air6: 0.0\n",
            "max_y_extension8: 0.0\n",
            "mean_acc_in_air8: 0.0\n",
            "mean_jerk_on_paper8: 0.0\n",
            "pressure_var8: 0.0\n",
            "mean_acc_in_air9: 0.0\n",
            "mean_speed_in_air9: 0.0\n",
            "mean_speed_on_paper9: 0.0\n",
            "air_time10: 0.0\n",
            "disp_index10: 0.0\n",
            "gmrt_in_air10: 0.0\n",
            "mean_acc_on_paper10: 0.0\n",
            "mean_jerk_in_air10: 0.0\n",
            "mean_speed_in_air10: 0.0\n",
            "mean_acc_on_paper11: 0.0\n",
            "mean_speed_in_air11: 0.0\n",
            "num_of_pendown11: 0.0\n",
            "pressure_var11: 0.0\n",
            "total_time11: 0.0\n",
            "max_y_extension12: 0.0\n",
            "paper_time13: 0.0\n",
            "total_time13: 0.0\n",
            "mean_jerk_in_air14: 0.0\n",
            "mean_jerk_on_paper14: 0.0\n",
            "num_of_pendown14: 0.0\n",
            "gmrt_in_air16: 0.0\n",
            "gmrt_on_paper16: 0.0\n",
            "mean_gmrt16: 0.0\n",
            "mean_speed_in_air16: 0.0\n",
            "mean_speed_on_paper16: 0.0\n",
            "max_x_extension17: 0.0\n",
            "disp_index18: 0.0\n",
            "gmrt_on_paper18: 0.0\n",
            "max_y_extension18: 0.0\n",
            "mean_acc_in_air18: 0.0\n",
            "mean_gmrt18: 0.0\n",
            "pressure_var18: 0.0\n",
            "mean_acc_in_air19: 0.0\n",
            "air_time20: 0.0\n",
            "mean_jerk_on_paper20: 0.0\n",
            "mean_speed_in_air20: 0.0\n",
            "pressure_var21: 0.0\n",
            "mean_acc_on_paper22: 0.0\n",
            "gmrt_in_air24: 0.0\n",
            "mean_speed_in_air24: 0.0\n",
            "pressure_mean24: 0.0\n",
            "gmrt_in_air25: 0.0\n",
            "mean_acc_on_paper25: 0.0\n",
            "pressure_var25: 0.0\n"
          ]
        }
      ]
    }
  ]
}