CNN_HAR _Accelerometer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Human Activity recognition using CNN \n",
    "- Nasir Uddin\n",
    "- This notebook used dataset from http://www.cis.fordham.edu/wisdm/dataset.php "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install tensorflow==2.0.0-rc0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.1.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "/usr/local/anaconda3/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import Sequential\n",
    "from tensorflow.keras.layers import Flatten, Dense, Dropout, BatchNormalization\n",
    "from tensorflow.keras.layers import Conv2D, MaxPool2D\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler,LabelEncoder\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error at line number:  281873\n",
      "Error at line number:  281874\n",
      "Error at line number:  281875\n"
     ]
    }
   ],
   "source": [
    "file = open('WISDM_ar_v1.1/WISDM_ar_v1.1_raw.txt')\n",
    "lines = file.readlines()\n",
    "\n",
    "processedList = []\n",
    "\n",
    "for i, line in enumerate(lines):\n",
    "    try:\n",
    "        line = line.split(',')\n",
    "        last = line[5].split(';')[0]\n",
    "        last = last.strip()\n",
    "        if last == '':\n",
    "            break;\n",
    "        temp = [line[0], line[1], line[2], line[3], line[4], last]\n",
    "        processedList.append(temp)\n",
    "    except:\n",
    "        print('Error at line number: ', i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " ['33', 'Walking', '49425802292000', '-3.336985', '1.7570249', '-1.3075534'],\n",
       " ['33', 'Walking', '49425912307000', '0.19068487', '13.184497', '10.991621'],\n",
       " ['33', 'Walking', '49426012253000', '3.1463003', '3.1463003', '-5.8976107'],\n",
       " ['33', 'Walking', '49426122299000', '-2.982856', '5.47538', '0.6537767'],\n",
       " ['33', 'Walking', '49426222305000', '0.08172209', '7.3549876', '-0.38136974'],\n",
       " ['33', 'Walking', '49426332290000', '2.9147544', '12.830367', '1.4165162'],\n",
       " ['33', 'Walking', '49426432266000', '-0.14982383', '12.762266', '-1.4573772'],\n",
       " ['33', 'Walking', '49426542312000', '-4.8216033', '13.756551', '0.9942854'],\n",
       " ['33', 'Walking', '49426652298000', '-0.19068487', '2.4108016', '-1.1441092'],\n",
       " ['33', 'Walking', '49426762314000', '-4.372132', '5.9793324', '3.8273177'],\n",
       " ['33', 'Walking', '49426872299000', '-4.099725', '12.830367', '-3.6774938'],\n",
       " ['33', 'Walking', '49426982315000', '1.4982382', '14.750836', '-2.6423476'],\n",
       " ['33', 'Walking', '49427092300000', '0.8036005', '8.008764', '-3.1054392'],\n",
       " ['33', 'Walking', '49427192276000', '0.84446156', '10.882658', '1.607201'],\n",
       " ['33', 'Walking', '49427302292000', '0.84446156', '15.431854', '0.5720546'],\n",
       " ['33', 'Walking', '49427412307000', '-7.8180795', '14.137921', '-2.8738933'],\n",
       " ['33', 'Walking', '49427522293000', '4.440233', '5.175732', '-0.14982383'],\n",
       " ['33', 'Walking', '49427622421000', '-2.070293', '1.4573772', '-1.4573772'],\n",
       " ['33', 'Walking', '49427722275000', '-2.5333846', '19.19107', '15.132206'],\n",
       " ['33', 'Walking', '49427832321000', '-1.3756552', '5.012288', '0.7218784'],\n",
       " ['33', 'Walking', '49427932296000', '-1.4573772', '6.5922484', '2.3699405'],\n",
       " ['33', 'Walking', '49428042312000', '-0.3405087', '7.5865335', '0.6946377'],\n",
       " ['33', 'Walking', '49428152298000', '0.3405087', '12.176591', '0.84446156'],\n",
       " ['33',\n",
       "  'Walking',\n",
       "  '49428262314000',\n",
       "  '-0.040861044',\n",
       "  '13.633968',\n",
       "  '-1.0760075'],\n",
       " ['33', 'Walking', '49428372299000', '-6.0474343', '13.375181', '1.4573772'],\n",
       " ['33', 'Walking', '49428482315000', '-0.3405087', '2.7649305', '-1.1168685'],\n",
       " ['33', 'Walking', '49428592300000', '-3.8681788', '6.6331096', '5.2165933'],\n",
       " ['33', 'Walking', '49428692306000', '-5.366417', '3.336985', '-6.428804'],\n",
       " ['33', 'Walking', '49428802322000', '-0.29964766', '3.636633', '-3.0645783'],\n",
       " ['33', 'Walking', '49428912307000', '0.92618364', '6.66035', '-2.4108016'],\n",
       " ['33', 'Walking', '49429012253000', '-2.0294318', '10.310603', '1.9477097'],\n",
       " ['33',\n",
       "  'Walking',\n",
       "  '49429122329000',\n",
       "  '1.5390993',\n",
       "  '14.1787815',\n",
       "  '-0.040861044'],\n",
       " ['33', 'Walking', '49429222275000', '-4.5628166', '13.293459', '-4.140586'],\n",
       " ['33', 'Walking', '49429332290000', '5.597963', '8.662541', '0.313268'],\n",
       " ['33', 'Walking', '49429442337000', '-1.7297841', '1.6889231', '-0.38136974'],\n",
       " ['33', 'Walking', '49429552292000', '-4.2086873', '16.08563', '13.102775'],\n",
       " ['33', 'Walking', '49429662307000', '-6.66035', '6.4424243', '2.8330324'],\n",
       " ['33', 'Walking', '49429772293000', '-0.08172209', '8.008764', '1.920469'],\n",
       " ['33', 'Walking', '49429882309000', '-0.14982383', '9.507003', '0.14982383'],\n",
       " ['33', 'Walking', '49429982345000', '1.334794', '9.656827', '-0.7218784'],\n",
       " ['33', 'Walking', '49430092300000', '-0.3405087', '15.704261', '0.8036005'],\n",
       " ['33', 'Walking', '49430192306000', '-8.62168', '15.785983', '0.313268'],\n",
       " ['33', 'Walking', '49430292251000', '3.0645783', '4.944186', '-0.23154591'],\n",
       " ['33', 'Walking', '49430402298000', '-0.9942854', '1.1168685', '-0.95342433'],\n",
       " ['33', 'Walking', '49430512314000', '-0.5720546', '14.669114', '11.645397'],\n",
       " ['33', 'Walking', '49430612228000', '2.152015', '6.5513873', '-2.4925237'],\n",
       " ['33', 'Walking', '49430712265000', '-1.334794', '12.598822', '1.7297841'],\n",
       " ['33', 'Walking', '49430822311000', '0.14982383', '7.8861814', '-1.4165162'],\n",
       " ['33', 'Walking', '49430922287000', '2.8738933', '12.830367', '0.19068487'],\n",
       " ['33', 'Walking', '49431032303000', '-0.46309182', '13.021052', '0.5720546'],\n",
       " ['33', 'Walking', '49431142349000', '-7.504812', '16.317177', '3.0645783'],\n",
       " ['33', 'Walking', '49431252304000', '-0.0', '3.2961242', '-1.0351465'],\n",
       " ['33', 'Walking', '49431362289000', '-3.0645783', '4.5219555', '1.9885708'],\n",
       " ['33', 'Walking', '49431472305000', '-1.6889231', '2.6014864', '-1.4982382'],\n",
       " ['33', 'Walking', '49431582321000', '1.334794', '3.9090397', '-4.1814466'],\n",
       " ['33', 'Walking', '49431692306000', '-1.7978859', '5.9793324', '-1.2258313'],\n",
       " ['33', 'Walking', '49431802292000', '-0.6537767', '9.997335', '1.4165162'],\n",
       " ['33', 'Walking', '49431912307000', '-0.3405087', '14.709975', '0.5720546'],\n",
       " ['33', 'Walking', '49432012253000', '-2.9556155', '13.443283', '-4.3312707'],\n",
       " ['33', 'Walking', '49432122299000', '5.7477865', '7.5456724', '-0.50395286'],\n",
       " ['33', 'Walking', '49432222305000', '-2.5333846', '1.879608', '-0.9942854'],\n",
       " ['33', 'Walking', '49432332321000', '-3.6774938', '16.467001', '11.495573'],\n",
       " ['33', 'Walking', '49432432296000', '-6.469665', '17.2025', '1.7297841'],\n",
       " ['33', 'Walking', '49432542312000', '-1.1441092', '12.067628', '0.313268'],\n",
       " ['33', 'Walking', '49432652298000', '0.38136974', '8.430995', '-1.4165162'],\n",
       " ['33', 'Walking', '49432762283000', '-0.08172209', '10.691973', '0.7218784'],\n",
       " ['33', 'Walking', '49432872299000', '-0.42223078', '14.982383', '0.3405087'],\n",
       " ['33', 'Walking', '49432982345000', '-7.7772183', '15.132206', '-0.27240697'],\n",
       " ['33', 'Walking', '49433032181000', '2.4925237', '9.888372', '0.19068487'],\n",
       " ['33', 'Walking', '49433142349000', '-0.8036005', '2.7649305', '-1.1168685'],\n",
       " ['33', 'Walking', '49433252304000', '-3.7864566', '9.80665', '4.903325'],\n",
       " ['33', 'Walking', '49433362289000', '-3.5957718', '8.158588', '-4.099725'],\n",
       " ['33', 'Walking', '49433472305000', '0.040861044', '7.5865335', '-2.3018389'],\n",
       " ['33', 'Walking', '49433582321000', '-1.56634', '6.3198414', '-2.3699405'],\n",
       " ['33', 'Walking', '49433692306000', '0.61291564', '10.460427', '0.46309182'],\n",
       " ['33', 'Walking', '49433802292000', '0.95342433', '14.818938', '0.95342433'],\n",
       " ['33', 'Walking', '49433912307000', '-5.243834', '14.47843', '-3.1463003'],\n",
       " ['33', 'Walking', '49434012253000', '4.2495484', '6.782933', '-0.42223078'],\n",
       " ['33', 'Walking', '49434122299000', '-2.4516625', '2.1111538', '-1.4165162'],\n",
       " ['33', 'Walking', '49434222275000', '-2.070293', '18.496431', '13.633968'],\n",
       " ['33', 'Walking', '49434332290000', '-5.09401', '14.709975', '2.6832085'],\n",
       " ['33', 'Walking', '49434432235000', '-0.0', '9.384419', '0.6537767'],\n",
       " ['33', 'Walking', '49434542312000', '-2.3018389', '9.152874', '1.5390993'],\n",
       " ['33', 'Walking', '49434652298000', '2.6423476', '10.419566', '0.3405087'],\n",
       " ['33',\n",
       "  'Walking',\n",
       "  '49434762314000',\n",
       "  '0.46309182',\n",
       "  '12.9529505',\n",
       "  '-0.61291564'],\n",
       " ['33', 'Walking', '49434872329000', '-6.5513873', '13.6748295', '0.8036005'],\n",
       " ['33', 'Walking', '49434982315000', '0.14982383', '2.6014864', '-1.4982382'],\n",
       " ['33', 'Walking', '49435092300000', '-4.2904096', '5.5162406', '2.5606253'],\n",
       " ['33', 'Walking', '49435202316000', '-5.47538', '10.841797', '-2.7240696'],\n",
       " ['33', 'Walking', '49435312301000', '2.4516625', '14.709975', '-0.3405087'],\n",
       " ['33', 'Walking', '49435422317000', '1.4573772', '8.471856', '-2.8330324'],\n",
       " ['33', 'Walking', '49435532303000', '0.6946377', '11.141444', '0.8036005'],\n",
       " ['33', 'Walking', '49435632248000', '2.1111538', '15.132206', '0.42223078'],\n",
       " ['33', 'Walking', '49435732315000', '-4.5219555', '13.0619135', '-3.718355'],\n",
       " ['33', 'Walking', '49435842300000', '4.0588636', '9.152874', '-0.50395286'],\n",
       " ['33', 'Walking', '49435942306000', '-2.3426998', '1.920469', '-1.7570249'],\n",
       " ['33', 'Walking', '49436052292000', '-3.718355', '14.369467', '12.367276'],\n",
       " ['33', 'Walking', '49436162307000', '-5.434519', '13.443283', '0.27240697'],\n",
       " ['33', 'Walking', '49436272293000', '-0.5720546', '10.923519', '2.2201166'],\n",
       " ['33', 'Walking', '49436382309000', '0.92618364', '10.460427', '-0.42223078'],\n",
       " ['33', 'Walking', '49436492294000', '2.4516625', '10.691973', '0.27240697'],\n",
       " ['33', 'Walking', '49436602310000', '0.95342433', '15.935807', '1.4573772'],\n",
       " ['33', 'Walking', '49436702316000', '-7.6273947', '15.4046135', '0.84446156'],\n",
       " ['33', 'Walking', '49436812301000', '2.2201166', '3.7864566', '-1.2666923'],\n",
       " ['33', 'Walking', '49436922317000', '-2.5606253', '3.6774938', '0.95342433'],\n",
       " ['33', 'Walking', '49437032303000', '-0.38136974', '7.205164', '8.117727'],\n",
       " ['33', 'Walking', '49437142318000', '0.7627395', '3.0237172', '-4.630918'],\n",
       " ['33', 'Walking', '49437252304000', '-1.7978859', '5.9793324', '-0.9942854'],\n",
       " ['33', 'Walking', '49437362289000', '-1.7978859', '8.430995', '-0.10896278'],\n",
       " ['33', 'Walking', '49437472305000', '4.6036777', '14.137921', '0.46309182'],\n",
       " ...]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processedList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['User','Activity','Time','x','y','z']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>User</th>\n",
       "      <th>Activity</th>\n",
       "      <th>Time</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>Jogging</td>\n",
       "      <td>49105962326000</td>\n",
       "      <td>-0.6946377</td>\n",
       "      <td>12.680544</td>\n",
       "      <td>0.50395286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33</td>\n",
       "      <td>Jogging</td>\n",
       "      <td>49106062271000</td>\n",
       "      <td>5.012288</td>\n",
       "      <td>11.264028</td>\n",
       "      <td>0.95342433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>Jogging</td>\n",
       "      <td>49106112167000</td>\n",
       "      <td>4.903325</td>\n",
       "      <td>10.882658</td>\n",
       "      <td>-0.08172209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>Jogging</td>\n",
       "      <td>49106222305000</td>\n",
       "      <td>-0.61291564</td>\n",
       "      <td>18.496431</td>\n",
       "      <td>3.0237172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>Jogging</td>\n",
       "      <td>49106332290000</td>\n",
       "      <td>-1.1849703</td>\n",
       "      <td>12.108489</td>\n",
       "      <td>7.205164</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  User Activity            Time            x          y            z\n",
       "0   33  Jogging  49105962326000   -0.6946377  12.680544   0.50395286\n",
       "1   33  Jogging  49106062271000     5.012288  11.264028   0.95342433\n",
       "2   33  Jogging  49106112167000     4.903325  10.882658  -0.08172209\n",
       "3   33  Jogging  49106222305000  -0.61291564  18.496431    3.0237172\n",
       "4   33  Jogging  49106332290000   -1.1849703  12.108489     7.205164"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame(data = processedList,columns=columns)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(343416, 6)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 343416 entries, 0 to 343415\n",
      "Data columns (total 6 columns):\n",
      "User        343416 non-null object\n",
      "Activity    343416 non-null object\n",
      "Time        343416 non-null object\n",
      "x           343416 non-null object\n",
      "y           343416 non-null object\n",
      "z           343416 non-null object\n",
      "dtypes: object(6)\n",
      "memory usage: 15.7+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User        0\n",
       "Activity    0\n",
       "Time        0\n",
       "x           0\n",
       "y           0\n",
       "z           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Walking       137375\n",
       "Jogging       129392\n",
       "Upstairs       35137\n",
       "Downstairs     33358\n",
       "Sitting         4599\n",
       "Standing        3555\n",
       "Name: Activity, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Activity'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Balance  Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['x']=data['x'].astype('float')\n",
    "data['y']=data['y'].astype('float')\n",
    "data['z']=data['z'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 343416 entries, 0 to 343415\n",
      "Data columns (total 6 columns):\n",
      "User        343416 non-null object\n",
      "Activity    343416 non-null object\n",
      "Time        343416 non-null object\n",
      "x           343416 non-null float64\n",
      "y           343416 non-null float64\n",
      "z           343416 non-null float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 15.7+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "Fs = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "activities = data['Activity'].value_counts().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Walking', 'Jogging', 'Upstairs', 'Downstairs', 'Sitting', 'Standing'], dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "activities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_activity(Activity,data):\n",
    "    fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, figsize=(15, 7), sharex=True)\n",
    "    plot_axis(ax0, data['Time'], data['x'], 'X-Axis')\n",
    "    plot_axis(ax1, data['Time'], data['y'], 'Y-Axis')\n",
    "    plot_axis(ax2, data['Time'], data['z'], 'Z-Axis')\n",
    "    plt.subplots_adjust(hspace=0.2)\n",
    "    fig.suptitle(Activity)\n",
    "    plt.subplots_adjust(top=0.90)\n",
    "    plt.show()\n",
    "    \n",
    "def plot_axis(ax, x, y, title):\n",
    "    ax.plot(x, y, 'b')\n",
    "    ax.set_title(title)\n",
    "    ax.xaxis.set_visible(False)\n",
    "    ax.set_ylim([min(y) - np.std(y), max(y) + np.std(y)])\n",
    "    ax.set_xlim([min(x), max(x)])\n",
    "    ax.grid(True)\n",
    "\n",
    "for Activity in activities:\n",
    "    data_for_plot = data[(data['Activity'] == Activity)][:Fs*10]\n",
    "    plot_activity(Activity, data_for_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Activity</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jogging</td>\n",
       "      <td>-0.694638</td>\n",
       "      <td>12.680544</td>\n",
       "      <td>0.503953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jogging</td>\n",
       "      <td>5.012288</td>\n",
       "      <td>11.264028</td>\n",
       "      <td>0.953424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jogging</td>\n",
       "      <td>4.903325</td>\n",
       "      <td>10.882658</td>\n",
       "      <td>-0.081722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jogging</td>\n",
       "      <td>-0.612916</td>\n",
       "      <td>18.496431</td>\n",
       "      <td>3.023717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jogging</td>\n",
       "      <td>-1.184970</td>\n",
       "      <td>12.108489</td>\n",
       "      <td>7.205164</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Activity         x          y         z\n",
       "0  Jogging -0.694638  12.680544  0.503953\n",
       "1  Jogging  5.012288  11.264028  0.953424\n",
       "2  Jogging  4.903325  10.882658 -0.081722\n",
       "3  Jogging -0.612916  18.496431  3.023717\n",
       "4  Jogging -1.184970  12.108489  7.205164"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data.drop(['User','Time'],axis=1).copy()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Walking       137375\n",
       "Jogging       129392\n",
       "Upstairs       35137\n",
       "Downstairs     33358\n",
       "Sitting         4599\n",
       "Standing        3555\n",
       "Name: Activity, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Activity'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "Walking = df[df['Activity']=='Walking'].head(3555).copy()\n",
    "Jogging = df[df['Activity']=='Jogging'].head(3555).copy()\n",
    "Upstairs = df[df['Activity']=='Upstairs'].head(3555).copy()\n",
    "Downstairs = df[df['Activity']=='Downstairs'].head(3555).copy()\n",
    "Sitting = df[df['Activity']=='Sitting'].head(3555).copy()\n",
    "Standing = df[df['Activity']=='Standing'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21330, 4)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "balanced_data = pd.DataFrame()\n",
    "balanced_data = balanced_data.append([Walking, Jogging, Upstairs, Downstairs, Sitting, Standing])\n",
    "balanced_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sitting       3555\n",
       "Jogging       3555\n",
       "Upstairs      3555\n",
       "Walking       3555\n",
       "Downstairs    3555\n",
       "Standing      3555\n",
       "Name: Activity, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "balanced_data['Activity'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Activity</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>Walking</td>\n",
       "      <td>0.844462</td>\n",
       "      <td>8.008764</td>\n",
       "      <td>2.792171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>Walking</td>\n",
       "      <td>1.116869</td>\n",
       "      <td>8.621680</td>\n",
       "      <td>3.786457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>Walking</td>\n",
       "      <td>-0.503953</td>\n",
       "      <td>16.657684</td>\n",
       "      <td>1.307553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>Walking</td>\n",
       "      <td>4.794363</td>\n",
       "      <td>10.760075</td>\n",
       "      <td>-1.184970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>Walking</td>\n",
       "      <td>-0.040861</td>\n",
       "      <td>9.234595</td>\n",
       "      <td>-0.694638</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Activity         x          y         z\n",
       "597  Walking  0.844462   8.008764  2.792171\n",
       "598  Walking  1.116869   8.621680  3.786457\n",
       "599  Walking -0.503953  16.657684  1.307553\n",
       "600  Walking  4.794363  10.760075 -1.184970\n",
       "601  Walking -0.040861   9.234595 -0.694638"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "balanced_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Activity</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>Walking</td>\n",
       "      <td>0.844462</td>\n",
       "      <td>8.008764</td>\n",
       "      <td>2.792171</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>Walking</td>\n",
       "      <td>1.116869</td>\n",
       "      <td>8.621680</td>\n",
       "      <td>3.786457</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>Walking</td>\n",
       "      <td>-0.503953</td>\n",
       "      <td>16.657684</td>\n",
       "      <td>1.307553</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>Walking</td>\n",
       "      <td>4.794363</td>\n",
       "      <td>10.760075</td>\n",
       "      <td>-1.184970</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>Walking</td>\n",
       "      <td>-0.040861</td>\n",
       "      <td>9.234595</td>\n",
       "      <td>-0.694638</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Activity         x          y         z  label\n",
       "597  Walking  0.844462   8.008764  2.792171      5\n",
       "598  Walking  1.116869   8.621680  3.786457      5\n",
       "599  Walking -0.503953  16.657684  1.307553      5\n",
       "600  Walking  4.794363  10.760075 -1.184970      5\n",
       "601  Walking -0.040861   9.234595 -0.694638      5"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label = LabelEncoder()\n",
    "balanced_data['label'] = label.fit_transform(balanced_data['Activity'])\n",
    "balanced_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Downstairs', 'Jogging', 'Sitting', 'Standing', 'Upstairs',\n",
       "       'Walking'], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label.classes_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Standardrizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=balanced_data[['x','y','z']]\n",
    "y=balanced_data['label']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000503</td>\n",
       "      <td>-0.099190</td>\n",
       "      <td>0.337933</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.073590</td>\n",
       "      <td>0.020386</td>\n",
       "      <td>0.633446</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.361275</td>\n",
       "      <td>1.588160</td>\n",
       "      <td>-0.103312</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.060258</td>\n",
       "      <td>0.437573</td>\n",
       "      <td>-0.844119</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.237028</td>\n",
       "      <td>0.139962</td>\n",
       "      <td>-0.698386</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21325</th>\n",
       "      <td>-0.470217</td>\n",
       "      <td>0.178084</td>\n",
       "      <td>0.261019</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21326</th>\n",
       "      <td>-0.542658</td>\n",
       "      <td>0.193692</td>\n",
       "      <td>0.248875</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21327</th>\n",
       "      <td>-0.628514</td>\n",
       "      <td>0.197593</td>\n",
       "      <td>0.261019</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21328</th>\n",
       "      <td>-0.781444</td>\n",
       "      <td>0.049322</td>\n",
       "      <td>0.155768</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21329</th>\n",
       "      <td>-0.800225</td>\n",
       "      <td>0.267827</td>\n",
       "      <td>0.475569</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21330 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              x         y         z  label\n",
       "0      0.000503 -0.099190  0.337933      5\n",
       "1      0.073590  0.020386  0.633446      5\n",
       "2     -0.361275  1.588160 -0.103312      5\n",
       "3      1.060258  0.437573 -0.844119      5\n",
       "4     -0.237028  0.139962 -0.698386      5\n",
       "...         ...       ...       ...    ...\n",
       "21325 -0.470217  0.178084  0.261019      3\n",
       "21326 -0.542658  0.193692  0.248875      3\n",
       "21327 -0.628514  0.197593  0.261019      3\n",
       "21328 -0.781444  0.049322  0.155768      3\n",
       "21329 -0.800225  0.267827  0.475569      3\n",
       "\n",
       "[21330 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "X= scaler.fit_transform(X)\n",
    "\n",
    "scaled_X  = pd.DataFrame(data = X,columns = ['x','y','z'])\n",
    "scaled_X['label']= y.values\n",
    "\n",
    "scaled_X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Frame Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "Fs = 20\n",
    "frame_size = Fs*4 # 80\n",
    "hop_size = Fs*2 # 40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_frames(df, frame_size, hop_size):\n",
    "\n",
    "    N_FEATURES = 3\n",
    "\n",
    "    frames = []\n",
    "    labels = []\n",
    "    for i in range(0, len(df) - frame_size, hop_size):\n",
    "        x = df['x'].values[i: i + frame_size]\n",
    "        y = df['y'].values[i: i + frame_size]\n",
    "        z = df['z'].values[i: i + frame_size]\n",
    "        \n",
    "        # Retrieve the most often used label in this segment\n",
    "        label = stats.mode(df['label'][i: i + frame_size])[0][0]\n",
    "        frames.append([x, y, z])\n",
    "        labels.append(label)\n",
    "\n",
    "    # Bring the segments into a better shape\n",
    "    frames = np.asarray(frames).reshape(-1, frame_size, N_FEATURES)\n",
    "    labels = np.asarray(labels)\n",
    "\n",
    "    return frames, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "X, y = get_frames(scaled_X, frame_size, hop_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((532, 80, 3), (532,))"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape,y.shape        #(3555*)/40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0, stratify = y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((425, 80, 3), (107, 80, 3))"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((80, 3), (80, 3))"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0].shape, X_test[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train.reshape(425, 80, 3, 1)\n",
    "X_test = X_test.reshape(107, 80, 3, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((80, 3, 1), (80, 3, 1))"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0].shape, X_test[0].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build 2D CNN Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(16, (2, 2), activation = 'relu', input_shape = X_train[0].shape))\n",
    "model.add(Dropout(0.1))\n",
    "\n",
    "model.add(Conv2D(32, (2, 2), activation='relu'))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(64, activation = 'relu'))\n",
    "model.add(Dropout(0.5))\n",
    "\n",
    "model.add(Dense(6, activation='softmax'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer=Adam(learning_rate = 0.001), loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 425 samples, validate on 107 samples\n",
      "Epoch 1/10\n",
      "425/425 [==============================] - 0s 895us/sample - loss: 1.5873 - accuracy: 0.2988 - val_loss: 1.2304 - val_accuracy: 0.5327\n",
      "Epoch 2/10\n",
      "425/425 [==============================] - 0s 133us/sample - loss: 1.1500 - accuracy: 0.5671 - val_loss: 0.8739 - val_accuracy: 0.7383\n",
      "Epoch 3/10\n",
      "425/425 [==============================] - 0s 121us/sample - loss: 0.8534 - accuracy: 0.7153 - val_loss: 0.5929 - val_accuracy: 0.7850\n",
      "Epoch 4/10\n",
      "425/425 [==============================] - 0s 128us/sample - loss: 0.5944 - accuracy: 0.8071 - val_loss: 0.4755 - val_accuracy: 0.8505\n",
      "Epoch 5/10\n",
      "425/425 [==============================] - 0s 128us/sample - loss: 0.5027 - accuracy: 0.8141 - val_loss: 0.3805 - val_accuracy: 0.8505\n",
      "Epoch 6/10\n",
      "425/425 [==============================] - 0s 123us/sample - loss: 0.3384 - accuracy: 0.8918 - val_loss: 0.2572 - val_accuracy: 0.8879\n",
      "Epoch 7/10\n",
      "425/425 [==============================] - 0s 126us/sample - loss: 0.2865 - accuracy: 0.9129 - val_loss: 0.2403 - val_accuracy: 0.8879\n",
      "Epoch 8/10\n",
      "425/425 [==============================] - 0s 127us/sample - loss: 0.2534 - accuracy: 0.9129 - val_loss: 0.2384 - val_accuracy: 0.8972\n",
      "Epoch 9/10\n",
      "425/425 [==============================] - 0s 128us/sample - loss: 0.2023 - accuracy: 0.9506 - val_loss: 0.2217 - val_accuracy: 0.8879\n",
      "Epoch 10/10\n",
      "425/425 [==============================] - 0s 125us/sample - loss: 0.1752 - accuracy: 0.9435 - val_loss: 0.2266 - val_accuracy: 0.8785\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(X_train, y_train, epochs = 10, validation_data= (X_test, y_test), verbose=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'loss': [1.5873285254310159,\n",
       "  1.1499975724781262,\n",
       "  0.8533934576371137,\n",
       "  0.594434003128725,\n",
       "  0.5027229633050806,\n",
       "  0.33844871759414674,\n",
       "  0.28646566264769613,\n",
       "  0.2533832508150269,\n",
       "  0.20234801195123617,\n",
       "  0.17520386864157284],\n",
       " 'accuracy': [0.29882354,\n",
       "  0.5670588,\n",
       "  0.7152941,\n",
       "  0.8070588,\n",
       "  0.81411767,\n",
       "  0.8917647,\n",
       "  0.91294116,\n",
       "  0.91294116,\n",
       "  0.9505882,\n",
       "  0.9435294],\n",
       " 'val_loss': [1.2304020830403979,\n",
       "  0.8739178982850547,\n",
       "  0.592861160496685,\n",
       "  0.4755473908419921,\n",
       "  0.38053590073206717,\n",
       "  0.257236765088322,\n",
       "  0.24026740356304935,\n",
       "  0.2383696868597904,\n",
       "  0.22170234374075293,\n",
       "  0.22656432748119407],\n",
       " 'val_accuracy': [0.53271025,\n",
       "  0.7383177,\n",
       "  0.78504676,\n",
       "  0.85046726,\n",
       "  0.85046726,\n",
       "  0.88785046,\n",
       "  0.88785046,\n",
       "  0.89719623,\n",
       "  0.88785046,\n",
       "  0.8785047]}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history.history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting Learning Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_learningCurve(history, epochs):\n",
    "  # Plot training & validation accuracy values\n",
    "  epoch_range = range(1, epochs+1)\n",
    "  plt.plot(epoch_range, history.history['accuracy'])\n",
    "  plt.plot(epoch_range, history.history['val_accuracy'])\n",
    "  plt.title('Model accuracy')\n",
    "  plt.ylabel('Accuracy')\n",
    "  plt.xlabel('Epoch')\n",
    "  plt.legend(['Train', 'Val'], loc='upper left')\n",
    "  plt.show()\n",
    "\n",
    "  # Plot training & validation loss values\n",
    "  plt.plot(epoch_range, history.history['loss'])\n",
    "  plt.plot(epoch_range, history.history['val_loss'])\n",
    "  plt.title('Model loss')\n",
    "  plt.ylabel('Loss')\n",
    "  plt.xlabel('Epoch')\n",
    "  plt.legend(['Train', 'Val'], loc='upper left')\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_learningCurve(history, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting Confusion Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting mlxtend\n",
      "  Using cached https://files.pythonhosted.org/packages/52/04/c362f34f666f0ddc7cf593805e64d64fa670ed96fd9302e68549dd48287d/mlxtend-0.17.0-py2.py3-none-any.whl\n",
      "Requirement already satisfied: joblib>=0.13.2 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (0.14.1)\n",
      "Requirement already satisfied: pandas>=0.24.2 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (0.25.3)\n",
      "Requirement already satisfied: matplotlib>=3.0.0 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (3.1.1)\n",
      "Requirement already satisfied: setuptools in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (44.0.0.post20200106)\n",
      "Requirement already satisfied: scipy>=1.2.1 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (1.4.1)\n",
      "Requirement already satisfied: numpy>=1.16.2 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (1.17.4)\n",
      "Requirement already satisfied: scikit-learn>=0.20.3 in /usr/local/anaconda3/lib/python3.7/site-packages (from mlxtend) (0.22.1)\n",
      "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/anaconda3/lib/python3.7/site-packages (from pandas>=0.24.2->mlxtend) (2.8.1)\n",
      "Requirement already satisfied: pytz>=2017.2 in /usr/local/anaconda3/lib/python3.7/site-packages (from pandas>=0.24.2->mlxtend) (2019.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/anaconda3/lib/python3.7/site-packages (from matplotlib>=3.0.0->mlxtend) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/anaconda3/lib/python3.7/site-packages (from matplotlib>=3.0.0->mlxtend) (1.1.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/anaconda3/lib/python3.7/site-packages (from matplotlib>=3.0.0->mlxtend) (2.4.6)\n",
      "Requirement already satisfied: six>=1.5 in /usr/local/anaconda3/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas>=0.24.2->mlxtend) (1.13.0)\n",
      "Installing collected packages: mlxtend\n",
      "Successfully installed mlxtend-0.17.0\n"
     ]
    }
   ],
   "source": [
    "#!pip3 install mlxtend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mlxtend\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict_classes(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 504x504 with 1 Axes>,\n",
       " <matplotlib.axes._subplots.AxesSubplot at 0x7fdb1ec79978>)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mat =mat = confusion_matrix(y_test, y_pred)\n",
    "plot_confusion_matrix(conf_mat=mat, class_names=label.classes_, show_normed=True, figsize=(7,7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "model.save_weights('cnn_model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}