Comparing algorithms.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2e1f9c13",
   "metadata": {},
   "source": [
    "# Advanced Predictive Analysis \n",
    "# Theory Digital Assessment - 4\n",
    "# NAME: PRATHIBAN V\n",
    "# REG NO: 19MID0010\n",
    "# Use Decision Tree, ANN, Naive Bayers and KNN algorithms to TCS, infosys, Reliance dataset and compare their accuracy "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "539a0695",
   "metadata": {},
   "source": [
    "### Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "98bc48dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d767074c",
   "metadata": {},
   "source": [
    "### Load TCS, Reliance, Infosys Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "b18f0d75",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_data():\n",
    "    tcs_data=pd.read_csv(\"TCS.NS.csv\")\n",
    "    reliance_data=pd.read_csv(\"RELIANCE.NS.csv\")\n",
    "    infosys_data=pd.read_csv(\"INFY.NS.csv\")\n",
    "    \n",
    "    return tcs_data,reliance_data,infosys_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42b63047",
   "metadata": {},
   "source": [
    "### Split Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "e0556186",
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_data(data):\n",
    "    X=data.values[:,0:5]\n",
    "    y=data.values[:,5]\n",
    "    \n",
    "    return X,y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e75577eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_test(X,y):\n",
    "    \n",
    "    X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.3,random_state=42)\n",
    "    \n",
    "    return X_train,X_test,y_train,y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "851ea05f",
   "metadata": {},
   "source": [
    "# Algorithms "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1083604",
   "metadata": {},
   "source": [
    "### (i)Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "de2ade21",
   "metadata": {},
   "outputs": [],
   "source": [
    "def DecisionTree(X_train,y_train,X_test):\n",
    "    dt=DecisionTreeClassifier(criterion=\"entropy\",random_state=100,max_depth=3,min_samples_leaf=5)\n",
    "    dt.fit(X_train,y_train)\n",
    "    y_pred=dt.predict(X_test)\n",
    "    \n",
    "    return (accuracy_score(y_test,y_pred)*100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f592aa16",
   "metadata": {},
   "source": [
    "### (ii)Aritificial Neural Networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "90aa2bce",
   "metadata": {},
   "outputs": [],
   "source": [
    "def ANN(data):\n",
    "    \n",
    "    label=LabelEncoder()\n",
    "    data['class']=label.fit_transform(data['class'])\n",
    "    \n",
    "    X=data.values[:,0:5]\n",
    "    y=data.values[:,5]\n",
    "    \n",
    "    model = Sequential()\n",
    "    model.add(Dense(12, input_shape=(5,), activation='sigmoid'))\n",
    "    model.add(Dense(5, activation='sigmoid'))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    \n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    \n",
    "    model.fit(X, y, epochs=100, batch_size=10)\n",
    "    \n",
    "    _, accuracy = model.evaluate(X, y)\n",
    "    return (accuracy*100) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00ff1738",
   "metadata": {},
   "source": [
    "### (iii)K-Nearest Neighbours"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "b7518f54",
   "metadata": {},
   "outputs": [],
   "source": [
    "def KNN(X_train,y_train,X_test,y_test):\n",
    "    knn = KNeighborsClassifier(n_neighbors=7)\n",
    "  \n",
    "    knn.fit(X_train, y_train)\n",
    "    \n",
    "    return (knn.score(X_test, y_test)*100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "352b74d1",
   "metadata": {},
   "source": [
    "### (iv)Naive Bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "1e432b0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def NB(X_train,y_train,X_test,y_test):\n",
    "    \n",
    "    gnb = GaussianNB()\n",
    "    gnb.fit(X_train, y_train)\n",
    "    \n",
    "    y_pred = gnb.predict(X_test)\n",
    "    \n",
    "    return (accuracy_score(y_test,y_pred)*100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23787748",
   "metadata": {},
   "source": [
    "### Load Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "e91e05d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "tcs_data,reliance_data,infosys_data=load_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d93c8b82",
   "metadata": {},
   "source": [
    "# TCS Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "f184de89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of tcs data using DT : 43.66576819407008\n",
      "Accuracy of tcs data using KNN : 48.24797843665768\n",
      "Accuracy of tcs data using NB : 54.71698113207547\n",
      "Epoch 1/100\n",
      "124/124 [==============================] - 2s 2ms/step - loss: 0.7097 - accuracy: 0.5255\n",
      "Epoch 2/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6950 - accuracy: 0.5255\n",
      "Epoch 3/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 4/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 5/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 6/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 7/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5255\n",
      "Epoch 8/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 9/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 10/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 11/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 12/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 13/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5255\n",
      "Epoch 14/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 15/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 16/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 17/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 18/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 19/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 20/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 21/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 22/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 23/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 24/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 25/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 26/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 27/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 28/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 29/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 30/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 31/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 32/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 33/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 34/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 35/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 36/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 37/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 38/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 39/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 40/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 41/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 42/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 43/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 44/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 45/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 46/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 47/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 48/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 49/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 50/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 51/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 52/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 53/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 54/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 55/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 56/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5255\n",
      "Epoch 57/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 58/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 59/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 60/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 61/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 62/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 63/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 64/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 65/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 66/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 67/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 68/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 69/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 70/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5255\n",
      "Epoch 71/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 72/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 73/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 74/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 75/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 76/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 77/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 78/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 79/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 80/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 81/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 82/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 83/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 84/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 85/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 86/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6919 - accuracy: 0.5255\n",
      "Epoch 87/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 88/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 89/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 90/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 91/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 92/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 93/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 94/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 95/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6921 - accuracy: 0.5255\n",
      "Epoch 96/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 97/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 98/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6920 - accuracy: 0.5255\n",
      "Epoch 99/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "Epoch 100/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5255\n",
      "39/39 [==============================] - 0s 2ms/step - loss: 0.6918 - accuracy: 0.5255\n",
      "Accuracy of tcs data using ANN : 52.55\n"
     ]
    }
   ],
   "source": [
    "X,y=split_data(tcs_data)\n",
    "X_train,X_test,y_train,y_test=train_test(X,y)\n",
    "\n",
    "tcs_dt_acc=DecisionTree(X_train,y_train,X_test)\n",
    "print(\"Accuracy of tcs data using DT :\",tcs_dt_acc) \n",
    "\n",
    "tcs_knn_acc=KNN(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of tcs data using KNN :\",tcs_knn_acc)\n",
    "\n",
    "tcs_nb_acc=NB(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of tcs data using NB :\",tcs_nb_acc)\n",
    "\n",
    "tcs_ann_acc=ANN(tcs_data)\n",
    "print(\"Accuracy of tcs data using ANN : %.2f\"%tcs_ann_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16f864f2",
   "metadata": {},
   "source": [
    "# Reliance Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "190c027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of tcs data using DT : 52.2911051212938\n",
      "Accuracy of Reliance data using KNN : 52.83018867924528\n",
      "Accuracy of Reliance data using NB : 52.56064690026954\n",
      "Epoch 1/100\n",
      "124/124 [==============================] - 1s 2ms/step - loss: 0.7165 - accuracy: 0.5231\n",
      "Epoch 2/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6945 - accuracy: 0.5231\n",
      "Epoch 3/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6930 - accuracy: 0.5231\n",
      "Epoch 4/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 5/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 6/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 7/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 8/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 9/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 10/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 11/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 12/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 13/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 14/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 15/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 16/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 17/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 18/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 19/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 20/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 21/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6928 - accuracy: 0.5231\n",
      "Epoch 22/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 23/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 24/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 25/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 26/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 27/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 28/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 29/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 30/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 31/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 32/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 33/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 34/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 35/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6927 - accuracy: 0.5231\n",
      "Epoch 36/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 37/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 38/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 39/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 40/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 41/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6927 - accuracy: 0.5231\n",
      "Epoch 42/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 43/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 44/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 45/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 46/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 47/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 48/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 49/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 50/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 51/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 52/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 53/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 54/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 55/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 56/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 57/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 58/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 59/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 60/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 61/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 62/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 63/100\n",
      "124/124 [==============================] - 0s 3ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 64/100\n",
      "124/124 [==============================] - 0s 3ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 65/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 66/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 67/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 68/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 69/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6927 - accuracy: 0.5231\n",
      "Epoch 70/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6928 - accuracy: 0.5231\n",
      "Epoch 71/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 72/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 73/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 74/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 75/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 76/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 77/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 78/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 79/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 80/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 81/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 82/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 83/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 84/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 85/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 86/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 87/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 88/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 89/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6923 - accuracy: 0.5231\n",
      "Epoch 90/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 91/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 92/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 93/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6927 - accuracy: 0.5231\n",
      "Epoch 94/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 95/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6926 - accuracy: 0.5231\n",
      "Epoch 96/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 97/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6925 - accuracy: 0.5231\n",
      "Epoch 98/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 99/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "Epoch 100/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6924 - accuracy: 0.5231\n",
      "39/39 [==============================] - 0s 1ms/step - loss: 0.6921 - accuracy: 0.5231\n",
      "Accuracy of Reliance data using ANN : 52.31\n"
     ]
    }
   ],
   "source": [
    "X,y=split_data(reliance_data)\n",
    "X_train,X_test,y_train,y_test=train_test(X,y)\n",
    "\n",
    "rel_dt_acc=DecisionTree(X_train,y_train,X_test)\n",
    "print(\"Accuracy of tcs data using DT :\",rel_dt_acc)\n",
    "\n",
    "rel_knn_acc=KNN(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of Reliance data using KNN :\",rel_knn_acc)                                                                                                                   \n",
    "\n",
    "rel_nb_acc=NB(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of Reliance data using NB :\",rel_nb_acc)\n",
    "\n",
    "rel_ann_acc=ANN(reliance_data)\n",
    "print(\"Accuracy of Reliance data using ANN : %.2f\"%rel_ann_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a63a4ea",
   "metadata": {},
   "source": [
    "# Infosys Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0460db9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of tcs data using DT : 57.14285714285714\n",
      "Accuracy of Infosys data using KNN : 49.865229110512125\n",
      "Accuracy of Infosys data using NB : 53.09973045822103\n",
      "Epoch 1/100\n",
      "124/124 [==============================] - 1s 2ms/step - loss: 0.7273 - accuracy: 0.4591\n",
      "Epoch 2/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6951 - accuracy: 0.4907\n",
      "Epoch 3/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6905 - accuracy: 0.5409\n",
      "Epoch 4/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 5/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 6/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 7/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 8/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 9/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 10/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 11/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 12/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 13/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 14/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 15/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 16/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 17/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 18/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6905 - accuracy: 0.5409\n",
      "Epoch 19/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 20/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 21/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 22/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6907 - accuracy: 0.5409\n",
      "Epoch 23/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 24/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 25/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6905 - accuracy: 0.5409\n",
      "Epoch 26/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 27/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 28/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 29/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 30/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 31/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 32/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 33/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 34/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 35/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 36/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 37/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6905 - accuracy: 0.5409\n",
      "Epoch 38/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 39/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 40/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 41/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 42/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 43/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 44/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 45/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 46/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 47/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 48/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 49/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 50/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 51/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 52/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 53/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6909 - accuracy: 0.5409\n",
      "Epoch 54/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 55/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 56/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 57/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 58/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 59/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 60/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6905 - accuracy: 0.5409\n",
      "Epoch 61/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 62/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 63/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 64/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 65/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 66/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 67/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 68/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 69/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 70/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6899 - accuracy: 0.5409\n",
      "Epoch 71/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 72/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 73/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 74/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 75/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 76/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 77/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 78/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 79/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 80/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 81/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 82/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 83/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 84/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 85/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 86/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 87/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 88/100\n",
      "124/124 [==============================] - 0s 1ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 89/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 90/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6900 - accuracy: 0.5409\n",
      "Epoch 91/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6904 - accuracy: 0.5409\n",
      "Epoch 92/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 93/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 94/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 95/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6902 - accuracy: 0.5409\n",
      "Epoch 96/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 97/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "Epoch 98/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 99/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6903 - accuracy: 0.5409\n",
      "Epoch 100/100\n",
      "124/124 [==============================] - 0s 2ms/step - loss: 0.6901 - accuracy: 0.5409\n",
      "39/39 [==============================] - 0s 2ms/step - loss: 0.6898 - accuracy: 0.5409\n",
      "Accuracy of Infosys data using ANN : 54.09\n"
     ]
    }
   ],
   "source": [
    "X,y=split_data(infosys_data)\n",
    "X_train,X_test,y_train,y_test=train_test(X,y)\n",
    "\n",
    "info_dt_acc=DecisionTree(X_train,y_train,X_test)\n",
    "print(\"Accuracy of tcs data using DT :\",info_dt_acc)\n",
    "\n",
    "info_knn_acc=KNN(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of Infosys data using KNN :\",info_knn_acc)                                                                                                                   \n",
    "\n",
    "info_nb_acc=NB(X_train,y_train,X_test,y_test)\n",
    "print(\"Accuracy of Infosys data using NB :\",info_nb_acc)                  \n",
    "\n",
    "info_ann_acc=ANN(infosys_data)\n",
    "print(\"Accuracy of Infosys data using ANN : %.2f\"%info_ann_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eff2d33",
   "metadata": {},
   "source": [
    "### Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "b7ae6fb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame()\n",
    "df['Decision Tree']=[tcs_dt_acc,rel_dt_acc,info_dt_acc]\n",
    "df['ANN']=[tcs_ann_acc,rel_ann_acc,info_ann_acc]\n",
    "df['KNN']=[tcs_knn_acc,rel_knn_acc,info_knn_acc]\n",
    "df['Naive Bayes']=[tcs_nb_acc,rel_nb_acc,info_nb_acc]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "00a58441",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index=['TCS','Reliance','Infosys']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "5c87a4d7",
   "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>Decision Tree</th>\n",
       "      <th>ANN</th>\n",
       "      <th>KNN</th>\n",
       "      <th>Naive Bayes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TCS</th>\n",
       "      <td>43.665768</td>\n",
       "      <td>52.550608</td>\n",
       "      <td>48.247978</td>\n",
       "      <td>54.716981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reliance</th>\n",
       "      <td>52.291105</td>\n",
       "      <td>52.307695</td>\n",
       "      <td>52.830189</td>\n",
       "      <td>52.560647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Infosys</th>\n",
       "      <td>57.142857</td>\n",
       "      <td>54.089069</td>\n",
       "      <td>49.865229</td>\n",
       "      <td>53.099730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Decision Tree        ANN        KNN  Naive Bayes\n",
       "TCS           43.665768  52.550608  48.247978    54.716981\n",
       "Reliance      52.291105  52.307695  52.830189    52.560647\n",
       "Infosys       57.142857  54.089069  49.865229    53.099730"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c338e68",
   "metadata": {},
   "source": [
    "# Displaying data with algorithm providing maximum accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "f84717f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TCS           Naive Bayes\n",
       "Reliance              KNN\n",
       "Infosys     Decision Tree\n",
       "dtype: object"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.idxmax(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b559dddd",
   "metadata": {},
   "source": [
    "# By comparing the accuracy of the algorithms with three different dataset we can see that Naive Bayers gives a steady good accuracy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d87246c3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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