Sigmoid-Neuron.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sigmoid Neuron Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits import mplot3d\n",
    "import matplotlib.colors\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n",
    "from sklearn.metrics import accuracy_score, mean_squared_error\n",
    "from tqdm.notebook import tqdm_notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The sigmoid function is given as - \n",
    "$S_{w, b}(x) = \\frac{1}{1 + e^{-(wx + b)}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigmoid(x, w, b):\n",
    "    return 1/(1 + np.exp(-(w*x + b)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6224593312018546"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigmoid(1, 0.5, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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"
    }
   ],
   "source": [
    "w = -1.8\n",
    "b = -0.5  \n",
    "X = np.linspace(-10,10,100)\n",
    "Y = sigmoid(X, w, b)\n",
    "\n",
    "plt.plot(X, Y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above was sigmoid function for one variable $x$. For more than one variable the sigmoid function is -\n",
    "$S_{w_1, w_2, b}(x_1, x_2) = \\frac{1}{1 + e^{-(w_1x_1 + w_2x_2 + b)}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigmoid_2d(x1, x2, w1, w2, b):\n",
    "    return 1/(1 + np.exp(-(w1*x1 + w2*x2 + b)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6224593312018546"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigmoid_2d(1, 0, 0.5, 0, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100,) (100,) (100, 100) (100, 100)\n"
     ]
    }
   ],
   "source": [
    "X1 = np.linspace(-10, 10, 100)\n",
    "X2 = np.linspace(-10, 10, 100)\n",
    "\n",
    "# Creating a mesh grid \n",
    "XX1, XX2 = np.meshgrid(X1, X2)\n",
    "\n",
    "print(X1.shape, X2.shape, XX1.shape, XX2.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Taking some dummy values to plot the sigmoid_2d function\n",
    "w1 = 2\n",
    "w2 = -0.5\n",
    "b = 0\n",
    "Y = sigmoid_2d(XX1, XX2, w1, w2, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For Customised Color pattern\n",
    "my_cmap = matplotlib.colors.LinearSegmentedColormap.from_list(\"\", [\"red\",\"yellow\",\"green\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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"
    }
   ],
   "source": [
    "plt.contourf(XX1, XX2, Y, cmap = my_cmap, alpha = 0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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"
    }
   ],
   "source": [
    "# 3D figure \n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "ax.plot_surface(XX1, XX2, Y, cmap='viridis')\n",
    "ax.set_xlabel('x1')\n",
    "ax.set_ylabel('x2')\n",
    "ax.set_zlabel('y')\n",
    "\n",
    "ax.view_init(30, 270)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we have seen how the sigmoid function looks like graphically. Now let's proceed to the calculation of loss function and it's plotting."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compute Loss for a Given Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "w_unknown = 0.5\n",
    "b_unknown = 0.25\n",
    "\n",
    "X = np.random.random(25) * 20 - 10\n",
    "Y = sigmoid(X, w_unknown, b_unknown)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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"
    }
   ],
   "source": [
    "plt.plot(X, Y, '*')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_loss(X, Y, w_est, b_est):\n",
    "    loss = 0\n",
    "    for x, y in zip(X, Y):\n",
    "        loss += (y - sigmoid(x, w_est, b_est))**2\n",
    "    return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "W = np.linspace(0, 2, 101)\n",
    "B = np.linspace(-1, 1, 101)\n",
    "\n",
    "WW, BB = np.meshgrid(W, B)\n",
    "\n",
    "Loss = np.zeros(WW.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(101, 101)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WW.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(WW.shape[0]):\n",
    "    for j in range(WW.shape[1]):\n",
    "        Loss[i, j] = calculate_loss(X, Y, WW[i, j], BB[i, j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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"
    }
   ],
   "source": [
    "# Plotting the loss function\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "ax.plot_surface(WW, BB, Loss, cmap='viridis')\n",
    "ax.set_xlabel('w')\n",
    "ax.set_ylabel('b')\n",
    "ax.set_zlabel('Loss')\n",
    "\n",
    "ax.view_init(30, 270)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "ij = np.argmin(Loss)\n",
    "i = int(np.floor(ij/Loss.shape[1]))\n",
    "j = int(ij - i * Loss.shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "62 25\n"
     ]
    }
   ],
   "source": [
    "print(i, j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5 0.24\n"
     ]
    }
   ],
   "source": [
    "print(WW[i, j], BB[i, j])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above method was guessing the values of the $w$ and $b$ and then trying to minimise the loss function.\n",
    "This method is time consuming and hence not a good one.\n",
    "This method just shows how the minima of the curve of the loss function gives the optimal solution.\n",
    "We will now look at the more controlled and directional version of finding the minima at the loss function surface."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Class for Sigmoid Neuron"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create the class for Sigmoid Neuron"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "class SigmoidNeuron:\n",
    "    \n",
    "    def __init__(self):\n",
    "        self.w = None\n",
    "        self.b = None\n",
    "    \n",
    "    def perceptron(self, x):\n",
    "        return np.dot(x, self.w.T) + self.b\n",
    "    \n",
    "    def sigmoid(self, x):\n",
    "        return 1.0/(1.0 + np.exp(-x))\n",
    "  \n",
    "    def grad_w(self, x, y):\n",
    "        y_pred = self.sigmoid(self.perceptron(x))\n",
    "        return (y_pred - y) * y_pred * (1 - y_pred) * x\n",
    "    \n",
    "    def grad_b(self, x, y):\n",
    "        y_pred = self.sigmoid(self.perceptron(x))\n",
    "        return (y_pred - y) * y_pred * (1 - y_pred)\n",
    "    \n",
    "    def fit(self, X, Y, epochs=1, learning_rate=1, initialise=True, display_loss = False):\n",
    "        \n",
    "        # initialise w, b\n",
    "        if initialise:\n",
    "            self.w = np.random.randn(1, X.shape[1])\n",
    "            self.b = 0\n",
    "        \n",
    "        if display_loss:\n",
    "            loss = []\n",
    "    \n",
    "        for i in tqdm_notebook(range(epochs), total=epochs, unit=\"epoch\"):\n",
    "            dw = 0\n",
    "            db = 0\n",
    "            for x, y in zip(X, Y):\n",
    "                dw += self.grad_w(x, y)\n",
    "                db += self.grad_b(x, y)\n",
    "            self.w -= learning_rate * dw\n",
    "            self.b -= learning_rate * db\n",
    "            \n",
    "            if display_loss:\n",
    "                Y_pred = self.sigmoid(self.perceptron(X))\n",
    "                loss.append(mean_squared_error(Y_pred, Y))\n",
    "        \n",
    "        if display_loss:\n",
    "            plt.plot(loss)\n",
    "            plt.xlabel('Epochs')\n",
    "            plt.ylabel('Mean Squared Error')\n",
    "            plt.show()\n",
    "            \n",
    "    def predict(self, X):\n",
    "        Y_pred = []\n",
    "        for x in X:\n",
    "            y_pred = self.sigmoid(self.perceptron(x))\n",
    "            Y_pred.append(y_pred)\n",
    "        return np.array(Y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's test our class on Some TOY Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fit for toy data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.asarray([[2.5, 2.5], [4, -1], [1, -4], [-3, 1.25], [-2, -4], [1, 5]])\n",
    "Y = [1, 1, 1, 0, 0, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "sn = SigmoidNeuron()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_sn(X, Y, sn, ax):\n",
    "    X1 = np.linspace(-10, 10, 100)\n",
    "    X2 = np.linspace(-10, 10, 100)\n",
    "    XX1 , XX2 = np.meshgrid(X1, X2)\n",
    "    YY = np.zeros(XX1.shape)\n",
    "    for i in range(X2.size):\n",
    "        for j in range(X1.size):\n",
    "            val = np.asarray([X1[j], X2[i]])\n",
    "            YY[i, j] = sn.sigmoid(sn.perceptron(val))\n",
    "    ax.contourf(XX1, XX2, YY, cmap=my_cmap, alpha=0.6)\n",
    "    ax.scatter(X[:,0], X[:,1],c=Y, cmap=my_cmap)\n",
    "    ax.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c89bd4f23e774bcda64a72fb430619f8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[[0.30345758 0.01112391]] [-0.00236649]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cdb2738b75204fc8adfec9eaa9ea45e4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[[ 0.61871415 -0.37904979]] [-0.03390749]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5e53a071c4dc44cb89e1081e2f0ad152",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[[ 0.86513745 -0.11383619]] [-0.07548212]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "862867e530bd48d8b6773c962f9c7d7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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\n",
      "text/plain": [
       "<Figure size 720x10800 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.fit(X, Y, 1, 0.05, True)\n",
    "N = 30\n",
    "plt.figure(figsize=(10, N*5))\n",
    "for i in range(N):\n",
    "    print(sn.w, sn.b)\n",
    "    ax = plt.subplot(N, 1, i + 1)\n",
    "    plot_sn(X, Y, sn, ax)\n",
    "    sn.fit(X, Y, 1, 0.5, False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's apply our sigmoid model on real datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"mobile_cleaned.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>PhoneId</th>\n",
       "      <th>Pixel Density</th>\n",
       "      <th>Screen Size</th>\n",
       "      <th>Weight</th>\n",
       "      <th>RAM</th>\n",
       "      <th>Processor_frequency</th>\n",
       "      <th>Screen to Body Ratio (calculated)</th>\n",
       "      <th>Height</th>\n",
       "      <th>Internal Memory</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>os_name_Tizen</th>\n",
       "      <th>os_name_iOS</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+CDMA</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+GSM</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+GSM, Dual VoLTE</th>\n",
       "      <th>SIM Slot(s)_Single SIM, GSM</th>\n",
       "      <th>Sim1_2G</th>\n",
       "      <th>Sim1_3G</th>\n",
       "      <th>Sim1_4G</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>341.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>232.970674</td>\n",
       "      <td>344.211144</td>\n",
       "      <td>5.462317</td>\n",
       "      <td>161.343109</td>\n",
       "      <td>11.120235</td>\n",
       "      <td>1.792551</td>\n",
       "      <td>72.353343</td>\n",
       "      <td>149.946394</td>\n",
       "      <td>46.369501</td>\n",
       "      <td>3191.307918</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>0.055718</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>0.759531</td>\n",
       "      <td>0.152493</td>\n",
       "      <td>0.085044</td>\n",
       "      <td>0.020528</td>\n",
       "      <td>0.020528</td>\n",
       "      <td>0.958944</td>\n",
       "      <td>4.072434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>137.231746</td>\n",
       "      <td>88.161129</td>\n",
       "      <td>0.742529</td>\n",
       "      <td>22.305556</td>\n",
       "      <td>61.320855</td>\n",
       "      <td>0.451598</td>\n",
       "      <td>9.357839</td>\n",
       "      <td>9.192305</td>\n",
       "      <td>46.435453</td>\n",
       "      <td>932.533527</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054153</td>\n",
       "      <td>0.229714</td>\n",
       "      <td>0.054153</td>\n",
       "      <td>0.427996</td>\n",
       "      <td>0.360026</td>\n",
       "      <td>0.279357</td>\n",
       "      <td>0.142006</td>\n",
       "      <td>0.142006</td>\n",
       "      <td>0.198711</td>\n",
       "      <td>0.377066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>23.600000</td>\n",
       "      <td>115.600000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1020.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>110.000000</td>\n",
       "      <td>282.000000</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>68.800000</td>\n",
       "      <td>146.200000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>2900.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>229.000000</td>\n",
       "      <td>326.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>161.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>72.500000</td>\n",
       "      <td>151.300000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>3055.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>354.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>77.480000</td>\n",
       "      <td>156.200000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>3750.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>472.000000</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>6.590000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>512.000000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>87.660000</td>\n",
       "      <td>174.100000</td>\n",
       "      <td>512.000000</td>\n",
       "      <td>13000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 88 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          PhoneId  Pixel Density  Screen Size      Weight         RAM  \\\n",
       "count  341.000000     341.000000   341.000000  341.000000  341.000000   \n",
       "mean   232.970674     344.211144     5.462317  161.343109   11.120235   \n",
       "std    137.231746      88.161129     0.742529   22.305556   61.320855   \n",
       "min      0.000000     143.000000     2.400000   58.000000    1.000000   \n",
       "25%    110.000000     282.000000     5.200000  150.000000    2.000000   \n",
       "50%    229.000000     326.000000     5.500000  161.000000    3.000000   \n",
       "75%    354.000000     403.000000     6.000000  172.000000    4.000000   \n",
       "max    472.000000     576.000000     6.590000  330.000000  512.000000   \n",
       "\n",
       "       Processor_frequency  Screen to Body Ratio (calculated)      Height  \\\n",
       "count           341.000000                         341.000000  341.000000   \n",
       "mean              1.792551                          72.353343  149.946394   \n",
       "std               0.451598                           9.357839    9.192305   \n",
       "min               1.000000                          23.600000  115.600000   \n",
       "25%               1.400000                          68.800000  146.200000   \n",
       "50%               1.800000                          72.500000  151.300000   \n",
       "75%               2.200000                          77.480000  156.200000   \n",
       "max               2.800000                          87.660000  174.100000   \n",
       "\n",
       "       Internal Memory      Capacity  ...  os_name_Tizen  os_name_iOS  \\\n",
       "count       341.000000    341.000000  ...     341.000000   341.000000   \n",
       "mean         46.369501   3191.307918  ...       0.002933     0.055718   \n",
       "std          46.435453    932.533527  ...       0.054153     0.229714   \n",
       "min           0.000000   1020.000000  ...       0.000000     0.000000   \n",
       "25%          16.000000   2900.000000  ...       0.000000     0.000000   \n",
       "50%          32.000000   3055.000000  ...       0.000000     0.000000   \n",
       "75%          64.000000   3750.000000  ...       0.000000     0.000000   \n",
       "max         512.000000  13000.000000  ...       1.000000     1.000000   \n",
       "\n",
       "       SIM Slot(s)_Dual SIM, GSM+CDMA  SIM Slot(s)_Dual SIM, GSM+GSM  \\\n",
       "count                      341.000000                     341.000000   \n",
       "mean                         0.002933                       0.759531   \n",
       "std                          0.054153                       0.427996   \n",
       "min                          0.000000                       0.000000   \n",
       "25%                          0.000000                       1.000000   \n",
       "50%                          0.000000                       1.000000   \n",
       "75%                          0.000000                       1.000000   \n",
       "max                          1.000000                       1.000000   \n",
       "\n",
       "       SIM Slot(s)_Dual SIM, GSM+GSM, Dual VoLTE  SIM Slot(s)_Single SIM, GSM  \\\n",
       "count                                 341.000000                   341.000000   \n",
       "mean                                    0.152493                     0.085044   \n",
       "std                                     0.360026                     0.279357   \n",
       "min                                     0.000000                     0.000000   \n",
       "25%                                     0.000000                     0.000000   \n",
       "50%                                     0.000000                     0.000000   \n",
       "75%                                     0.000000                     0.000000   \n",
       "max                                     1.000000                     1.000000   \n",
       "\n",
       "          Sim1_2G     Sim1_3G     Sim1_4G      Rating  \n",
       "count  341.000000  341.000000  341.000000  341.000000  \n",
       "mean     0.020528    0.020528    0.958944    4.072434  \n",
       "std      0.142006    0.142006    0.198711    0.377066  \n",
       "min      0.000000    0.000000    0.000000    2.500000  \n",
       "25%      0.000000    0.000000    1.000000    3.900000  \n",
       "50%      0.000000    0.000000    1.000000    4.100000  \n",
       "75%      0.000000    0.000000    1.000000    4.300000  \n",
       "max      1.000000    1.000000    1.000000    5.000000  \n",
       "\n",
       "[8 rows x 88 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(341, 88)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data.drop('Rating',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y = data['Rating'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>PhoneId</th>\n",
       "      <th>Pixel Density</th>\n",
       "      <th>Screen Size</th>\n",
       "      <th>Weight</th>\n",
       "      <th>RAM</th>\n",
       "      <th>Processor_frequency</th>\n",
       "      <th>Screen to Body Ratio (calculated)</th>\n",
       "      <th>Height</th>\n",
       "      <th>Internal Memory</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>os_name_Other</th>\n",
       "      <th>os_name_Tizen</th>\n",
       "      <th>os_name_iOS</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+CDMA</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+GSM</th>\n",
       "      <th>SIM Slot(s)_Dual SIM, GSM+GSM, Dual VoLTE</th>\n",
       "      <th>SIM Slot(s)_Single SIM, GSM</th>\n",
       "      <th>Sim1_2G</th>\n",
       "      <th>Sim1_3G</th>\n",
       "      <th>Sim1_4G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>403</td>\n",
       "      <td>6.26</td>\n",
       "      <td>182</td>\n",
       "      <td>4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>80.68</td>\n",
       "      <td>157.9</td>\n",
       "      <td>64</td>\n",
       "      <td>4000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>6.20</td>\n",
       "      <td>168</td>\n",
       "      <td>3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>80.85</td>\n",
       "      <td>156.2</td>\n",
       "      <td>32</td>\n",
       "      <td>4230</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>409</td>\n",
       "      <td>6.30</td>\n",
       "      <td>168</td>\n",
       "      <td>3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>83.68</td>\n",
       "      <td>157.0</td>\n",
       "      <td>32</td>\n",
       "      <td>3500</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>411</td>\n",
       "      <td>6.00</td>\n",
       "      <td>169</td>\n",
       "      <td>4</td>\n",
       "      <td>2.2</td>\n",
       "      <td>74.78</td>\n",
       "      <td>159.8</td>\n",
       "      <td>64</td>\n",
       "      <td>3300</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>396</td>\n",
       "      <td>6.50</td>\n",
       "      <td>175</td>\n",
       "      <td>4</td>\n",
       "      <td>2.2</td>\n",
       "      <td>84.23</td>\n",
       "      <td>160.4</td>\n",
       "      <td>64</td>\n",
       "      <td>3750</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PhoneId  Pixel Density  Screen Size  Weight  RAM  Processor_frequency  \\\n",
       "0        0            403         6.26     182    4                  1.8   \n",
       "1        1            271         6.20     168    3                  1.8   \n",
       "2        2            409         6.30     168    3                  2.1   \n",
       "3        4            411         6.00     169    4                  2.2   \n",
       "4        5            396         6.50     175    4                  2.2   \n",
       "\n",
       "   Screen to Body Ratio (calculated)  Height  Internal Memory  Capacity  ...  \\\n",
       "0                              80.68   157.9               64      4000  ...   \n",
       "1                              80.85   156.2               32      4230  ...   \n",
       "2                              83.68   157.0               32      3500  ...   \n",
       "3                              74.78   159.8               64      3300  ...   \n",
       "4                              84.23   160.4               64      3750  ...   \n",
       "\n",
       "   os_name_Other  os_name_Tizen  os_name_iOS  SIM Slot(s)_Dual SIM, GSM+CDMA  \\\n",
       "0              0              0            0                               0   \n",
       "1              0              0            0                               0   \n",
       "2              0              0            0                               0   \n",
       "3              0              0            0                               0   \n",
       "4              0              0            0                               0   \n",
       "\n",
       "   SIM Slot(s)_Dual SIM, GSM+GSM  SIM Slot(s)_Dual SIM, GSM+GSM, Dual VoLTE  \\\n",
       "0                              0                                          1   \n",
       "1                              0                                          1   \n",
       "2                              0                                          1   \n",
       "3                              1                                          0   \n",
       "4                              0                                          1   \n",
       "\n",
       "   SIM Slot(s)_Single SIM, GSM  Sim1_2G  Sim1_3G  Sim1_4G  \n",
       "0                            0        0        0        1  \n",
       "1                            0        0        0        1  \n",
       "2                            0        0        0        1  \n",
       "3                            0        0        0        1  \n",
       "4                            0        0        0        1  \n",
       "\n",
       "[5 rows x 87 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4.5, 4.5, 4.4, 4.3, 4.4, 4.5, 4.3, 4.1, 4.3, 4.5, 4.5, 4. , 4.4,\n",
       "       4.4, 4.4, 4.4, 4.5, 4.4, 4.4, 4.4, 4.4, 4.5, 4.4, 4.3, 4.2, 4.3,\n",
       "       4.3, 4.6, 4.4, 4.5, 3.9, 4.2, 4.3, 4.2, 4.3, 4.3, 4.2, 4.4, 4.1,\n",
       "       3.8, 4.4, 4.6, 4.3, 4.5, 4.5, 4.2, 3.9, 4.3, 4. , 4.3, 4.3, 3.9,\n",
       "       4.2, 4.5, 4. , 4.6, 4.2, 2.8, 4.4, 4.3, 4.2, 4.4, 4.4, 4. , 4.4,\n",
       "       4.4, 4.1, 4.5, 4.3, 3.9, 4.3, 4.1, 4.1, 4.2, 3.4, 4.2, 4.6, 3.8,\n",
       "       4.3, 4.5, 4.2, 4.5, 4.5, 4. , 4.1, 4.4, 4.5, 4.1, 4.5, 4.3, 4.5,\n",
       "       3.9, 3.9, 4.4, 4.4, 4.4, 4. , 4.1, 4.1, 4.4, 4.3, 4.3, 4.2, 4.3,\n",
       "       3.4, 4.3, 4.3, 4.2, 4.6, 4.8, 4.4, 3.4, 3.7, 4.2, 4.3, 4.4, 4.3,\n",
       "       4.2, 4.1, 4.3, 4. , 3.9, 4.4, 4.4, 3.9, 3.1, 3.7, 4.2, 4.4, 4. ,\n",
       "       4. , 4.1, 4.2, 4.3, 4.2, 4.3, 4.1, 3.6, 4.1, 4. , 3.8, 3.7, 4.3,\n",
       "       4.1, 4.1, 4.5, 4. , 4.3, 3.6, 4.1, 4.5, 3.5, 4. , 4.3, 4.6, 3.5,\n",
       "       3.9, 4.1, 3.9, 3.8, 4.4, 4.3, 4. , 3.9, 4.4, 4.7, 3.9, 4.5, 3.7,\n",
       "       4. , 4.3, 4.1, 4.8, 4.1, 4. , 4.7, 4. , 4.1, 4. , 3.4, 4.1, 3.9,\n",
       "       3.1, 4.1, 3.7, 3.4, 3.9, 4.3, 4.1, 3.7, 3.8, 4. , 3.8, 4.6, 3.4,\n",
       "       3.3, 3.2, 3.5, 4.3, 4.1, 4. , 3.8, 4.3, 4.1, 4. , 3.8, 3.8, 3.9,\n",
       "       4.1, 3.7, 4.2, 4. , 4.2, 4.4, 4.1, 3.4, 4.2, 4.4, 3.9, 3.9, 4.4,\n",
       "       4.2, 4.5, 4.5, 4.2, 4. , 4.2, 3.5, 3.7, 4.3, 5. , 3.5, 4.4, 3.7,\n",
       "       4.3, 3.9, 4.3, 3.8, 3.8, 4.3, 5. , 4.1, 3. , 4.4, 3. , 4. , 4. ,\n",
       "       3.9, 3.9, 4.2, 2.8, 4.3, 3.3, 4.3, 4. , 4.2, 4.1, 4.2, 3.6, 3.5,\n",
       "       4.1, 4.6, 3.9, 4. , 3.8, 4.1, 2.5, 4.2, 3.7, 3.9, 4.1, 3. , 3.8,\n",
       "       4.6, 4.2, 3.4, 3.9, 4.5, 4.1, 3.3, 4.1, 4. , 3.3, 4.4, 3.8, 3.9,\n",
       "       3.6, 4.4, 4.1, 4.1, 4. , 3.5, 3. , 4.2, 4. , 3.9, 3.5, 3.4, 3.4,\n",
       "       4. , 3.6, 4. , 3.5, 4. , 4. , 3.7, 4.6, 4. , 4.1, 4. , 3.5, 4.1,\n",
       "       3.7, 4.4, 4.3, 4.1, 3.9, 3.4, 3.3, 3.9, 4. , 4.4, 4.5, 4.2, 3.8,\n",
       "       3.7, 4.2, 4.1, 4. , 3.9, 3.7, 4.2, 4. , 3.6, 3.6, 4.4, 3.8, 3.9,\n",
       "       4.1, 3.6, 4.3])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold = 4.2\n",
    "data['Class'] = (data['Rating']>= threshold).astype(np.int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.533724\n",
       "1    0.466276\n",
       "Name: Class, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percentage \n",
    "data['Class'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_binarised = data['Class'].values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Standardisation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Standardising data is important as we have different parameters with a wide range of values. So the range of the values should be in similar sense to get the most out of our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split (X, Y, random_state = 0, stratify = Y_binarised)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(255, 87) (86, 87)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape,X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_scaled_train = scaler.fit_transform(X_train)\n",
    "X_scaled_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "minmax_scaler = MinMaxScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_scaled_train = minmax_scaler.fit_transform(Y_train.reshape(-1,1))\n",
    "Y_scaled_test = minmax_scaler.transform(Y_test.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_threshold = list(minmax_scaler.transform(np.array([threshold]).reshape(-1,1)))[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6800000000000002"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_binarised_train  =  (Y_scaled_train > scaled_threshold).astype('int').ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1,\n",
       "       0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0,\n",
       "       1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0,\n",
       "       0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,\n",
       "       0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0,\n",
       "       1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0,\n",
       "       0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1,\n",
       "       0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1,\n",
       "       0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0,\n",
       "       1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_binarised_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_binarised_test  =  (Y_scaled_test > scaled_threshold).astype('int').ravel()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now train our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "sn = SigmoidNeuron()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ac3717f6b1354ee8b35155511d9bf8ea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=50000.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "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": [
    "sn.fit(X_scaled_train, Y_scaled_train, epochs = 50000 , learning_rate=0.001, display_loss = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_pred_train = sn.predict(X_scaled_train)\n",
    "Y_pred_test = sn.predict(X_scaled_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_pred_binarised_train = (Y_pred_train > scaled_threshold).astype('int').ravel()\n",
    "Y_pred_binarised_test = (Y_pred_test > scaled_threshold).astype('int').ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy_train = accuracy_score(Y_pred_binarised_train, Y_binarised_train)\n",
    "accuracy_test = accuracy_score (Y_pred_binarised_test, Y_binarised_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.803921568627451 0.8023255813953488\n"
     ]
    }
   ],
   "source": [
    "print (accuracy_train, accuracy_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We got the accuracy of approx 80% on training set and approx 80% on test dataset after 50,000 iterations and learning rate of 0.001.\n",
    "The hyperparameters can be changed to get even higher accuracies. "
   ]
  },
  {
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}