Final_LSTM_Model_(1) (1).ipynb

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      "metadata": {
        "id": "LNqfki1MbT1r"
      },
      "outputs": [],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "Ou-Fjoy8b9QY",
        "outputId": "00c59950-6372-498d-a7c9-9e317373a276"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Archive:  /content/drive/MyDrive/MHEALTHDATASET.zip\n",
            "   creating: MHEALTHDATASET/\n",
            "  inflating: MHEALTHDATASET/mHealth_subject1.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject10.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject2.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject3.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject4.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject5.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject6.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject7.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject8.log  \n",
            "  inflating: MHEALTHDATASET/mHealth_subject9.log  \n",
            "  inflating: MHEALTHDATASET/README.txt  \n"
          ]
        }
      ],
      "source": [
        "! unzip /content/drive/MyDrive/MHEALTHDATASET.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "Ono4RnmXcr6O"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "from keras import layers\n",
        "import keras\n",
        "\n",
        "%matplotlib inline\n",
        "tf.random.set_seed(42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "sYZFTvDlcwKS",
        "outputId": "ddddc126-725a-4bab-a450-34c413991683"
      },
      "outputs": [
        {
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              "        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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_e69b090b-3c85-4b08-9f02-21e8317b2e0a button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "            alx     aly      alz       glx      gly      glz     arx     ary  \\\n",
              "0        2.1849 -9.6967  0.63077  0.103900 -0.84053 -0.68762 -8.6499 -4.5781   \n",
              "1        2.3876 -9.5080  0.68389  0.085343 -0.83865 -0.68369 -8.6275 -4.3198   \n",
              "2        2.4086 -9.5674  0.68113  0.085343 -0.83865 -0.68369 -8.5055 -4.2772   \n",
              "3        2.1814 -9.4301  0.55031  0.085343 -0.83865 -0.68369 -8.6279 -4.3163   \n",
              "4        2.4173 -9.3889  0.71098  0.085343 -0.83865 -0.68369 -8.7008 -4.1459   \n",
              "...         ...     ...      ...       ...      ...      ...     ...     ...   \n",
              "1215740  1.7849 -9.8287  0.29725 -0.341370 -0.90056 -0.61493 -3.7198 -8.9071   \n",
              "1215741  1.8687 -9.8766  0.46236 -0.341370 -0.90056 -0.61493 -3.7160 -8.7455   \n",
              "1215742  1.6928 -9.9290  0.16631 -0.341370 -0.90056 -0.61493 -3.8824 -9.1155   \n",
              "1215743  1.5279 -9.6306  0.30458 -0.341370 -0.90056 -0.61493 -3.5564 -9.1441   \n",
              "1215744  1.6614 -9.8398  0.18088 -0.332100 -0.90432 -0.61886 -3.9035 -8.9324   \n",
              "\n",
              "              arz       grx      gry       grz  Activity    subject  \n",
              "0        0.187760 -0.449020 -1.01030  0.034483         0   subject1  \n",
              "1        0.023595 -0.449020 -1.01030  0.034483         0   subject1  \n",
              "2        0.275720 -0.449020 -1.01030  0.034483         0   subject1  \n",
              "3        0.367520 -0.456860 -1.00820  0.025862         0   subject1  \n",
              "4        0.407290 -0.456860 -1.00820  0.025862         0   subject1  \n",
              "...           ...       ...      ...       ...       ...        ...  \n",
              "1215740  0.294230  0.041176 -0.99384 -0.480600         0  subject10  \n",
              "1215741  0.448140  0.041176 -0.99384 -0.480600         0  subject10  \n",
              "1215742  0.450480  0.041176 -0.99384 -0.480600         0  subject10  \n",
              "1215743  0.594880  0.041176 -0.99384 -0.480600         0  subject10  \n",
              "1215744  0.761710  0.035294 -1.02050 -0.471980         0  subject10  \n",
              "\n",
              "[1215745 rows x 14 columns]"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.read_csv('/content/drive/MyDrive/mhealth_raw_data.csv')\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kXNYSLQ6c3Vp",
        "outputId": "b9cad398-e6a9-43d6-ca87-95c4c196bd87"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1     30720\n",
              "2     30720\n",
              "3     30720\n",
              "4     30720\n",
              "9     30720\n",
              "10    30720\n",
              "11    30720\n",
              "5     30720\n",
              "0     30000\n",
              "7     29441\n",
              "8     29337\n",
              "6     28315\n",
              "12    10342\n",
              "Name: Activity, dtype: int64"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.utils import resample\n",
        "\n",
        "df_majority = df[df.Activity==0]\n",
        "df_minorities = df[df.Activity!=0]\n",
        "\n",
        "df_majority_downsampled = resample(df_majority,n_samples=30000, random_state=42)\n",
        "df = pd.concat([df_majority_downsampled, df_minorities])\n",
        "df.Activity.value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "htClOQS1dAGr",
        "outputId": "ad547e7d-9a75-4865-98aa-7015bbd5dcf0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "alx range: -11.47312 to 19.233\n",
            "shape (365733, 14)\n",
            "aly range: -19.379 to 2.447871999999997\n",
            "shape (360018, 14)\n",
            "alz range: -18.95 to 14.19623999999999\n",
            "shape (356270, 14)\n",
            "glx range: -0.74212 to 0.80705\n",
            "shape (349377, 14)\n",
            "gly range: -1.0694 to 0.96623\n",
            "shape (342841, 14)\n",
            "glz range: -1.1061 to 0.8290799999999999\n",
            "shape (337391, 14)\n",
            "arx range: -21.492 to 9.097647999999998\n",
            "shape (332307, 14)\n",
            "ary range: -18.694000000000003 to 11.948059999999998\n",
            "shape (326241, 14)\n",
            "arz range: -10.367 to 11.823119999999996\n",
            "shape (323674, 14)\n",
            "grx range: -1.0196 to 0.95686\n",
            "shape (320188, 14)\n",
            "gry range: -1.1417 to 0.90965\n",
            "shape (315352, 14)\n",
            "grz range: -0.69828 to 1.125\n",
            "shape (310929, 14)\n"
          ]
        }
      ],
      "source": [
        "df1 = df.copy()\n",
        "\n",
        "for feature in df1.columns[:-2]:\n",
        "  lower_range = np.quantile(df[feature],0.01)\n",
        "  upper_range = np.quantile(df[feature],0.99)\n",
        "  print(feature,'range:',lower_range,'to',upper_range)\n",
        "\n",
        "  df1 = df1.drop(df1[(df1[feature]>upper_range) | (df1[feature]<lower_range)].index, axis=0)\n",
        "  print('shape',df1.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-arMQERRdBEf"
      },
      "outputs": [],
      "source": [
        "label_map = {\n",
        "    0: 'Nothing',\n",
        "    1: 'Standing still',\n",
        "    2: 'Sitting and relaxing',\n",
        "    3: 'Lying down',\n",
        "    4: 'Walking',\n",
        "    5: 'Climbing stairs',\n",
        "    6: 'Waist bends forward',\n",
        "    7: 'Frontal elevation of arms',\n",
        "    8: 'Knees bending (crouching)',\n",
        "    9: 'Cycling',\n",
        "    10: 'Jogging',\n",
        "    11: 'Running',\n",
        "    12: 'Jump front & back'\n",
        "}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7AA7jKEvdHq_",
        "outputId": "2ae196b0-5558-4cf8-cf5c-69de29568f4c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((246501, 14), (64428, 14))"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train = df1[(df1['subject'] != 'subject10') & (df1['subject'] != 'subject9')]\n",
        "test = df1.drop(train.index, axis=0)\n",
        "train.shape,test.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vY1-XLtedMYZ",
        "outputId": "735b8641-62f8-4d52-b693-3eb11a3a12c6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((246501, 12), (246501,), (64428, 12), (64428,))"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train = train.drop(['Activity','subject'],axis=1)\n",
        "y_train = train['Activity']\n",
        "X_test = test.drop(['Activity','subject'],axis=1)\n",
        "y_test = test['Activity']\n",
        "X_train.shape,y_train.shape,X_test.shape,y_test.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SvBZWSXkdPhC"
      },
      "outputs": [],
      "source": [
        "from scipy import stats\n",
        "\n",
        "#function to create time series datset for seuence modeling\n",
        "def create_dataset(X, y, time_steps, step=1):\n",
        "    Xs, ys = [], []\n",
        "    for i in range(0, len(X) - time_steps, step):\n",
        "        x = X.iloc[i:(i + time_steps)].values\n",
        "        labels = y.iloc[i: i + time_steps]\n",
        "        Xs.append(x)\n",
        "        ys.append(stats.mode(labels)[0])\n",
        "    return np.array(Xs), np.array(ys).reshape(-1, 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S2SZMNMsdSUu",
        "outputId": "46fbe15e-8ef4-47e9-9eb4-c54bf623f848"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((4929, 100, 12), (4929, 1))"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train,y_train = create_dataset(X_train, y_train, 100, step=50)\n",
        "X_train.shape, y_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PUdn6S0ZdTbL",
        "outputId": "61e75a5e-b5e1-44ff-ed16-da8e75824cd4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((1287, 100, 12), (1287, 1))"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_test,y_test = create_dataset(X_test, y_test, 100, step=50)\n",
        "X_test.shape, y_test.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XA5n2KGxdakg",
        "outputId": "d8807d59-b96a-41e6-ca08-036f8f869125"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"model_5\"\n",
            "__________________________________________________________________________________________________\n",
            " Layer (type)                Output Shape                 Param #   Connected to                  \n",
            "==================================================================================================\n",
            " input_7 (InputLayer)        [(None, 100, 12)]            0         []                            \n",
            "                                                                                                  \n",
            " conv1d_52 (Conv1D)          (None, 100, 16)              784       ['input_7[0][0]']             \n",
            "                                                                                                  \n",
            " batch_normalization_42 (Ba  (None, 100, 16)              64        ['conv1d_52[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " re_lu_42 (ReLU)             (None, 100, 16)              0         ['batch_normalization_42[0][0]\n",
            "                                                                    ']                            \n",
            "                                                                                                  \n",
            " conv1d_53 (Conv1D)          (None, 100, 16)              1040      ['re_lu_42[0][0]']            \n",
            "                                                                                                  \n",
            " batch_normalization_43 (Ba  (None, 100, 16)              64        ['conv1d_53[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " re_lu_43 (ReLU)             (None, 100, 16)              0         ['batch_normalization_43[0][0]\n",
            "                                                                    ']                            \n",
            "                                                                                                  \n",
            " conv1d_54 (Conv1D)          (None, 100, 16)              1040      ['re_lu_43[0][0]']            \n",
            "                                                                                                  \n",
            " batch_normalization_44 (Ba  (None, 100, 16)              64        ['conv1d_54[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " add_16 (Add)                (None, 100, 16)              0         ['batch_normalization_44[0][0]\n",
            "                                                                    ',                            \n",
            "                                                                     're_lu_42[0][0]']            \n",
            "                                                                                                  \n",
            " re_lu_44 (ReLU)             (None, 100, 16)              0         ['add_16[0][0]']              \n",
            "                                                                                                  \n",
            " max_pooling1d_14 (MaxPooli  (None, 50, 16)               0         ['re_lu_44[0][0]']            \n",
            " ng1D)                                                                                            \n",
            "                                                                                                  \n",
            " conv1d_55 (Conv1D)          (None, 50, 16)               1040      ['max_pooling1d_14[0][0]']    \n",
            "                                                                                                  \n",
            " batch_normalization_45 (Ba  (None, 50, 16)               64        ['conv1d_55[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " re_lu_45 (ReLU)             (None, 50, 16)               0         ['batch_normalization_45[0][0]\n",
            "                                                                    ']                            \n",
            "                                                                                                  \n",
            " conv1d_56 (Conv1D)          (None, 50, 16)               1040      ['re_lu_45[0][0]']            \n",
            "                                                                                                  \n",
            " batch_normalization_46 (Ba  (None, 50, 16)               64        ['conv1d_56[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " add_17 (Add)                (None, 50, 16)               0         ['batch_normalization_46[0][0]\n",
            "                                                                    ',                            \n",
            "                                                                     'max_pooling1d_14[0][0]']    \n",
            "                                                                                                  \n",
            " re_lu_46 (ReLU)             (None, 50, 16)               0         ['add_17[0][0]']              \n",
            "                                                                                                  \n",
            " max_pooling1d_15 (MaxPooli  (None, 25, 16)               0         ['re_lu_46[0][0]']            \n",
            " ng1D)                                                                                            \n",
            "                                                                                                  \n",
            " conv1d_57 (Conv1D)          (None, 25, 64)               4160      ['max_pooling1d_15[0][0]']    \n",
            "                                                                                                  \n",
            " batch_normalization_47 (Ba  (None, 25, 64)               256       ['conv1d_57[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " re_lu_47 (ReLU)             (None, 25, 64)               0         ['batch_normalization_47[0][0]\n",
            "                                                                    ']                            \n",
            "                                                                                                  \n",
            " conv1d_58 (Conv1D)          (None, 25, 64)               16448     ['re_lu_47[0][0]']            \n",
            "                                                                                                  \n",
            " batch_normalization_48 (Ba  (None, 25, 64)               256       ['conv1d_58[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " re_lu_48 (ReLU)             (None, 25, 64)               0         ['batch_normalization_48[0][0]\n",
            "                                                                    ']                            \n",
            "                                                                                                  \n",
            " conv1d_59 (Conv1D)          (None, 25, 64)               16448     ['re_lu_48[0][0]']            \n",
            "                                                                                                  \n",
            " batch_normalization_49 (Ba  (None, 25, 64)               256       ['conv1d_59[0][0]']           \n",
            " tchNormalization)                                                                                \n",
            "                                                                                                  \n",
            " add_18 (Add)                (None, 25, 64)               0         ['batch_normalization_49[0][0]\n",
            "                                                                    ',                            \n",
            "                                                                     're_lu_47[0][0]']            \n",
            "                                                                                                  \n",
            " re_lu_49 (ReLU)             (None, 25, 64)               0         ['add_18[0][0]']              \n",
            "                                                                                                  \n",
            " conv1d_60 (Conv1D)          (None, 25, 64)               4160      ['re_lu_49[0][0]']            \n",
            "                                                                                                  \n",
            " conv1d_62 (Conv1D)          (None, 25, 64)               4160      ['re_lu_49[0][0]']            \n",
            "                                                                                                  \n",
            " max_pooling1d_16 (MaxPooli  (None, 25, 64)               0         ['re_lu_49[0][0]']            \n",
            " ng1D)                                                                                            \n",
            "                                                                                                  \n",
            " conv1d_61 (Conv1D)          (None, 25, 64)               12352     ['conv1d_60[0][0]']           \n",
            "                                                                                                  \n",
            " conv1d_63 (Conv1D)          (None, 25, 64)               20544     ['conv1d_62[0][0]']           \n",
            "                                                                                                  \n",
            " conv1d_64 (Conv1D)          (None, 25, 64)               4160      ['max_pooling1d_16[0][0]']    \n",
            "                                                                                                  \n",
            " concatenate_2 (Concatenate  (None, 25, 192)              0         ['conv1d_61[0][0]',           \n",
            " )                                                                   'conv1d_63[0][0]',           \n",
            "                                                                     'conv1d_64[0][0]']           \n",
            "                                                                                                  \n",
            " bidirectional_4 (Bidirecti  (None, 128)                  131584    ['concatenate_2[0][0]']       \n",
            " onal)                                                                                            \n",
            "                                                                                                  \n",
            " flatten_5 (Flatten)         (None, 128)                  0         ['bidirectional_4[0][0]']     \n",
            "                                                                                                  \n",
            " dense_10 (Dense)            (None, 128)                  16512     ['flatten_5[0][0]']           \n",
            "                                                                                                  \n",
            " dense_11 (Dense)            (None, 13)                   1677      ['dense_10[0][0]']            \n",
            "                                                                                                  \n",
            "==================================================================================================\n",
            "Total params: 238237 (930.61 KB)\n",
            "Trainable params: 237693 (928.49 KB)\n",
            "Non-trainable params: 544 (2.12 KB)\n",
            "__________________________________________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "from tensorflow import keras\n",
        "from tensorflow.keras import layers\n",
        "\n",
        "# Define a custom ResNet block\n",
        "def resnet_block(input_tensor, filters, kernel_size, strides=1):\n",
        "    x = layers.Conv1D(filters, kernel_size, strides=strides, padding=\"same\")(input_tensor)\n",
        "    x = layers.BatchNormalization()(x)\n",
        "    x = layers.ReLU()(x)\n",
        "\n",
        "    x = layers.Conv1D(filters, kernel_size, padding=\"same\")(x)\n",
        "    x = layers.BatchNormalization()(x)\n",
        "\n",
        "    # Add the input tensor to the output of the convolutional layers (skip connection)\n",
        "    x = layers.Add()([x, input_tensor])\n",
        "    x = layers.ReLU()(x)\n",
        "    return x\n",
        "\n",
        "# Define a custom XNet block\n",
        "def xnet_block(input_tensor, filters, kernel_size, strides=1):\n",
        "    x = layers.Conv1D(filters, kernel_size, strides=strides, padding=\"same\")(input_tensor)\n",
        "    x = layers.BatchNormalization()(x)\n",
        "    x = layers.ReLU()(x)\n",
        "\n",
        "    x = layers.Conv1D(filters, kernel_size, padding=\"same\")(x)\n",
        "    x = layers.BatchNormalization()(x)\n",
        "\n",
        "    # Add the input tensor to the output of the convolutional layers (skip connection)\n",
        "    x = layers.Add()([x, input_tensor])\n",
        "    x = layers.ReLU()(x)\n",
        "    return x\n",
        "\n",
        "from tensorflow.keras.layers import Conv1D, MaxPooling1D, Concatenate\n",
        "\n",
        "# Define a custom Inception block with hyperparameter tuning\n",
        "def tuned_inception_block(input_tensor, filters_1x1, filters_3x3, filters_5x5, pool_filters):\n",
        "    branch_1 = Conv1D(filters_1x1, 1, padding='same', activation='relu')(input_tensor)\n",
        "    branch_1 = Conv1D(filters_3x3, 3, padding='same', activation='relu')(branch_1)\n",
        "\n",
        "    branch_2 = Conv1D(filters_1x1, 1, padding='same', activation='relu')(input_tensor)\n",
        "    branch_2 = Conv1D(filters_5x5, 5, padding='same', activation='relu')(branch_2)\n",
        "\n",
        "    branch_3 = MaxPooling1D(3, strides=1, padding='same')(input_tensor)\n",
        "    branch_3 = Conv1D(pool_filters, 1, padding='same', activation='relu')(branch_3)\n",
        "\n",
        "    output = Concatenate(axis=-1)([branch_1, branch_2, branch_3])\n",
        "    return output\n",
        "\n",
        "\n",
        "# Original input layer\n",
        "input_layer = layers.Input(shape=[100, 12])\n",
        "\n",
        "# ResNet convolution layers\n",
        "x = layers.Conv1D(filters=16, kernel_size=4, padding=\"same\")(input_layer)\n",
        "x = layers.BatchNormalization()(x)\n",
        "x = layers.ReLU()(x)\n",
        "x = resnet_block(x, filters=16, kernel_size=4)\n",
        "x = layers.MaxPool1D(2)(x)\n",
        "x = resnet_block(x, filters=16, kernel_size=4) # Corrected filter count\n",
        "x = layers.MaxPool1D(2)(x)\n",
        "\n",
        "# XNet convolution layers\n",
        "x = layers.Conv1D(filters=64, kernel_size=4, padding=\"same\")(x)\n",
        "x = layers.BatchNormalization()(x)\n",
        "x = layers.ReLU()(x)\n",
        "x = xnet_block(x, filters=64, kernel_size=4) # You can add more XNet blocks as needed\n",
        "\n",
        "# Inception block with tuned hyperparameters\n",
        "x = tuned_inception_block(x, filters_1x1=32, filters_3x3=64, filters_5x5=32, pool_filters=64)\n",
        "\n",
        "\n",
        "# Bidirectional LSTM layers\n",
        "x = layers.Bidirectional(layers.LSTM(64))(x)\n",
        "\n",
        "# Rest of the model\n",
        "x = layers.Flatten()(x)  # Flatten the output for dense layers\n",
        "x = layers.Dense(units=128, activation='relu')(x)\n",
        "x = layers.Dense(13, activation='softmax')(x)\n",
        "\n",
        "# Create model\n",
        "model = keras.Model(inputs=input_layer, outputs=x)\n",
        "model.summary()\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "m3CmL6ZddgwA",
        "outputId": "d9cf4539-d11a-4f6d-c941-b8dd5cfd7e17"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tf.keras.utils.plot_model(model, show_shapes=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "csEL9cZPdkK5",
        "outputId": "2d97f9c4-960c-47d9-fa96-f20f438923c9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "155/155 [==============================] - 15s 62ms/step - loss: 0.0355 - sparse_categorical_accuracy: 0.9915 - val_loss: 0.2627 - val_sparse_categorical_accuracy: 0.9277\n",
            "Epoch 2/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0249 - sparse_categorical_accuracy: 0.9929 - val_loss: 0.1023 - val_sparse_categorical_accuracy: 0.9736\n",
            "Epoch 3/20\n",
            "155/155 [==============================] - 7s 43ms/step - loss: 0.0547 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.1534 - val_sparse_categorical_accuracy: 0.9409\n",
            "Epoch 4/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0370 - sparse_categorical_accuracy: 0.9892 - val_loss: 0.0734 - val_sparse_categorical_accuracy: 0.9806\n",
            "Epoch 5/20\n",
            "155/155 [==============================] - 7s 44ms/step - loss: 0.0147 - sparse_categorical_accuracy: 0.9955 - val_loss: 0.0662 - val_sparse_categorical_accuracy: 0.9790\n",
            "Epoch 6/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0143 - sparse_categorical_accuracy: 0.9949 - val_loss: 0.5988 - val_sparse_categorical_accuracy: 0.9277\n",
            "Epoch 7/20\n",
            "155/155 [==============================] - 8s 52ms/step - loss: 0.0514 - sparse_categorical_accuracy: 0.9866 - val_loss: 0.0540 - val_sparse_categorical_accuracy: 0.9821\n",
            "Epoch 8/20\n",
            "155/155 [==============================] - 7s 44ms/step - loss: 0.0403 - sparse_categorical_accuracy: 0.9884 - val_loss: 0.0791 - val_sparse_categorical_accuracy: 0.9829\n",
            "Epoch 9/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0307 - sparse_categorical_accuracy: 0.9907 - val_loss: 0.0322 - val_sparse_categorical_accuracy: 0.9922\n",
            "Epoch 10/20\n",
            "155/155 [==============================] - 7s 44ms/step - loss: 0.0210 - sparse_categorical_accuracy: 0.9939 - val_loss: 0.0285 - val_sparse_categorical_accuracy: 0.9915\n",
            "Epoch 11/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0164 - sparse_categorical_accuracy: 0.9959 - val_loss: 0.1856 - val_sparse_categorical_accuracy: 0.9417\n",
            "Epoch 12/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0360 - sparse_categorical_accuracy: 0.9913 - val_loss: 0.0414 - val_sparse_categorical_accuracy: 0.9899\n",
            "Epoch 13/20\n",
            "155/155 [==============================] - 7s 43ms/step - loss: 0.0498 - sparse_categorical_accuracy: 0.9864 - val_loss: 0.0418 - val_sparse_categorical_accuracy: 0.9891\n",
            "Epoch 14/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0253 - sparse_categorical_accuracy: 0.9919 - val_loss: 0.3116 - val_sparse_categorical_accuracy: 0.9503\n",
            "Epoch 15/20\n",
            "155/155 [==============================] - 7s 43ms/step - loss: 0.0176 - sparse_categorical_accuracy: 0.9947 - val_loss: 0.0651 - val_sparse_categorical_accuracy: 0.9798\n",
            "Epoch 16/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.0314 - sparse_categorical_accuracy: 0.9895 - val_loss: 0.1682 - val_sparse_categorical_accuracy: 0.9635\n",
            "Epoch 17/20\n",
            "155/155 [==============================] - 8s 49ms/step - loss: 0.0355 - sparse_categorical_accuracy: 0.9901 - val_loss: 0.1567 - val_sparse_categorical_accuracy: 0.9689\n",
            "Epoch 18/20\n",
            "155/155 [==============================] - 7s 47ms/step - loss: 0.1727 - sparse_categorical_accuracy: 0.9292 - val_loss: 0.4923 - val_sparse_categorical_accuracy: 0.8555\n",
            "Epoch 19/20\n",
            "155/155 [==============================] - 8s 51ms/step - loss: 0.1546 - sparse_categorical_accuracy: 0.9387 - val_loss: 0.4514 - val_sparse_categorical_accuracy: 0.9441\n",
            "Epoch 20/20\n",
            "155/155 [==============================] - 7s 44ms/step - loss: 0.0634 - sparse_categorical_accuracy: 0.9811 - val_loss: 0.3213 - val_sparse_categorical_accuracy: 0.9138\n"
          ]
        }
      ],
      "source": [
        "callbacks = [keras.callbacks.ModelCheckpoint(\"mhealth_best.h5\", save_best_only=True, monitor=\"val_loss\"),\n",
        "             keras.callbacks.EarlyStopping(monitor=\"val_loss\", patience=50, verbose=1)]\n",
        "\n",
        "model.compile(optimizer=\"adam\", loss=\"sparse_categorical_crossentropy\", metrics=[\"sparse_categorical_accuracy\"],)\n",
        "\n",
        "model_history = model.fit(X_train,y_train, epochs= 20, validation_data=(X_test,y_test), callbacks=callbacks)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "QtLphdBkd-0A",
        "outputId": "04774d72-10a3-4baa-ce72-a65c0b6e2125"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "train_loss = model_history.history['loss']\n",
        "val_loss = model_history.history['val_loss']\n",
        "train_accuracy = model_history.history['sparse_categorical_accuracy']\n",
        "val_accuracy = model_history.history['val_sparse_categorical_accuracy']\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "\n",
        "plt.subplot(1,2,1)\n",
        "plt.plot(train_loss, 'r', label='Training loss')\n",
        "plt.plot(val_loss, 'b', label='Validation loss')\n",
        "plt.title('Training and Validation Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Loss Value')\n",
        "plt.legend()\n",
        "\n",
        "plt.subplot(1,2,2)\n",
        "plt.plot(train_accuracy, 'r', label='Training Accuracy')\n",
        "plt.plot(val_accuracy, 'b', label='Validation Accuracy')\n",
        "plt.title('Training and Validation Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hl-XEt-keE68",
        "outputId": "ea6f4ad7-39a2-4c2a-9078-1e62803ca352"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "155/155 [==============================] - 2s 11ms/step - loss: 0.0037 - sparse_categorical_accuracy: 0.9992\n",
            "41/41 [==============================] - 0s 10ms/step - loss: 0.0285 - sparse_categorical_accuracy: 0.9915\n",
            "Train accuracy 99.92 %\n",
            "Train loss 0.003741803579032421\n",
            "Test accuracy 99.15 %\n",
            "Test loss 0.028530040755867958\n"
          ]
        }
      ],
      "source": [
        "model = keras.models.load_model('./mhealth_best.h5')\n",
        "\n",
        "train_loss, train_acc = model.evaluate(X_train,y_train)\n",
        "test_loss, test_acc = model.evaluate(X_test,y_test)\n",
        "\n",
        "print(\"Train accuracy\", round(train_acc*100, 2),'%')\n",
        "print(\"Train loss\", train_loss)\n",
        "print(\"Test accuracy\", round(test_acc*100, 2),'%')\n",
        "print(\"Test loss\", test_loss)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3ZYoiTP0eO_t",
        "outputId": "f3d2c0fb-0b5d-40a8-fb55-5001ba545868"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "41/41 [==============================] - 1s 11ms/step\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "((1287, 1), (1287, 1))"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pred = model.predict(X_test)\n",
        "pred = np.argmax(pred, axis = 1)\n",
        "pred = pred.reshape(-1,1)\n",
        "pred.shape,y_test.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lgq42qUreTwf",
        "outputId": "ed661a2a-0f84-4740-9631-2c9309c31c72"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        92\n",
            "           1       1.00      0.99      1.00       123\n",
            "           2       0.99      0.99      0.99       123\n",
            "           3       0.98      1.00      0.99       122\n",
            "           4       0.98      0.98      0.98       120\n",
            "           5       0.98      1.00      0.99        84\n",
            "           6       1.00      0.98      0.99       106\n",
            "           7       0.99      1.00      1.00       112\n",
            "           8       1.00      0.97      0.99       116\n",
            "           9       0.99      0.99      0.99       121\n",
            "          10       0.98      1.00      0.99        89\n",
            "          11       1.00      0.98      0.99        52\n",
            "          12       1.00      1.00      1.00        27\n",
            "\n",
            "    accuracy                           0.99      1287\n",
            "   macro avg       0.99      0.99      0.99      1287\n",
            "weighted avg       0.99      0.99      0.99      1287\n",
            "\n",
            "**************************************************\n",
            "[[ 92   0   0   0   0   0   0   0   0   0   0   0   0]\n",
            " [  0 122   1   0   0   0   0   0   0   0   0   0   0]\n",
            " [  0   0 122   0   0   0   0   1   0   0   0   0   0]\n",
            " [  0   0   0 122   0   0   0   0   0   0   0   0   0]\n",
            " [  0   0   0   2 118   0   0   0   0   0   0   0   0]\n",
            " [  0   0   0   0   0  84   0   0   0   0   0   0   0]\n",
            " [  0   0   0   0   2   0 104   0   0   0   0   0   0]\n",
            " [  0   0   0   0   0   0   0 112   0   0   0   0   0]\n",
            " [  0   0   0   0   0   2   0   0 113   1   0   0   0]\n",
            " [  0   0   0   0   0   0   0   0   0 120   1   0   0]\n",
            " [  0   0   0   0   0   0   0   0   0   0  89   0   0]\n",
            " [  0   0   0   0   0   0   0   0   0   0   1  51   0]\n",
            " [  0   0   0   0   0   0   0   0   0   0   0   0  27]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import confusion_matrix, classification_report\n",
        "\n",
        "print(classification_report(y_test,pred))\n",
        "print('*'*50)\n",
        "print(confusion_matrix(y_test,pred))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 848
        },
        "id": "siy21wTReb7-",
        "outputId": "65b267fd-3541-49fd-8a7b-7c4ed4cc7e02"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12,8))\n",
        "conf_matrix = confusion_matrix(y_test,pred)\n",
        "sns.heatmap(conf_matrix, xticklabels= label_map.values(), yticklabels= label_map.values(), annot=True, fmt=\"d\")\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "none",
      "version": "0"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}