Iris Classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Load the Data</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********** DATA **********\n",
      "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n",
      "[5.1 3.5 1.4 0.2] -> setosa\n",
      "[4.9 3.  1.4 0.2] -> setosa\n",
      "[4.7 3.2 1.3 0.2] -> setosa\n",
      "[4.6 3.1 1.5 0.2] -> setosa\n",
      "[5.  3.6 1.4 0.2] -> setosa\n",
      "[5.4 3.9 1.7 0.4] -> setosa\n",
      "[4.6 3.4 1.4 0.3] -> setosa\n",
      "[5.  3.4 1.5 0.2] -> setosa\n",
      "[4.4 2.9 1.4 0.2] -> setosa\n",
      "[4.9 3.1 1.5 0.1] -> setosa\n",
      "[5.4 3.7 1.5 0.2] -> setosa\n",
      "[4.8 3.4 1.6 0.2] -> setosa\n",
      "[4.8 3.  1.4 0.1] -> setosa\n",
      "[4.3 3.  1.1 0.1] -> setosa\n",
      "[5.8 4.  1.2 0.2] -> setosa\n",
      "[5.7 4.4 1.5 0.4] -> setosa\n",
      "[5.4 3.9 1.3 0.4] -> setosa\n",
      "[5.1 3.5 1.4 0.3] -> setosa\n",
      "[5.7 3.8 1.7 0.3] -> setosa\n",
      "[5.1 3.8 1.5 0.3] -> setosa\n",
      "[5.4 3.4 1.7 0.2] -> setosa\n",
      "[5.1 3.7 1.5 0.4] -> setosa\n",
      "[4.6 3.6 1.  0.2] -> setosa\n",
      "[5.1 3.3 1.7 0.5] -> setosa\n",
      "[4.8 3.4 1.9 0.2] -> setosa\n",
      "[5.  3.  1.6 0.2] -> setosa\n",
      "[5.  3.4 1.6 0.4] -> setosa\n",
      "[5.2 3.5 1.5 0.2] -> setosa\n",
      "[5.2 3.4 1.4 0.2] -> setosa\n",
      "[4.7 3.2 1.6 0.2] -> setosa\n",
      "[4.8 3.1 1.6 0.2] -> setosa\n",
      "[5.4 3.4 1.5 0.4] -> setosa\n",
      "[5.2 4.1 1.5 0.1] -> setosa\n",
      "[5.5 4.2 1.4 0.2] -> setosa\n",
      "[4.9 3.1 1.5 0.2] -> setosa\n",
      "[5.  3.2 1.2 0.2] -> setosa\n",
      "[5.5 3.5 1.3 0.2] -> setosa\n",
      "[4.9 3.6 1.4 0.1] -> setosa\n",
      "[4.4 3.  1.3 0.2] -> setosa\n",
      "[5.1 3.4 1.5 0.2] -> setosa\n",
      "[5.  3.5 1.3 0.3] -> setosa\n",
      "[4.5 2.3 1.3 0.3] -> setosa\n",
      "[4.4 3.2 1.3 0.2] -> setosa\n",
      "[5.  3.5 1.6 0.6] -> setosa\n",
      "[5.1 3.8 1.9 0.4] -> setosa\n",
      "[4.8 3.  1.4 0.3] -> setosa\n",
      "[5.1 3.8 1.6 0.2] -> setosa\n",
      "[4.6 3.2 1.4 0.2] -> setosa\n",
      "[5.3 3.7 1.5 0.2] -> setosa\n",
      "[5.  3.3 1.4 0.2] -> setosa\n",
      "[7.  3.2 4.7 1.4] -> versicolor\n",
      "[6.4 3.2 4.5 1.5] -> versicolor\n",
      "[6.9 3.1 4.9 1.5] -> versicolor\n",
      "[5.5 2.3 4.  1.3] -> versicolor\n",
      "[6.5 2.8 4.6 1.5] -> versicolor\n",
      "[5.7 2.8 4.5 1.3] -> versicolor\n",
      "[6.3 3.3 4.7 1.6] -> versicolor\n",
      "[4.9 2.4 3.3 1. ] -> versicolor\n",
      "[6.6 2.9 4.6 1.3] -> versicolor\n",
      "[5.2 2.7 3.9 1.4] -> versicolor\n",
      "[5.  2.  3.5 1. ] -> versicolor\n",
      "[5.9 3.  4.2 1.5] -> versicolor\n",
      "[6.  2.2 4.  1. ] -> versicolor\n",
      "[6.1 2.9 4.7 1.4] -> versicolor\n",
      "[5.6 2.9 3.6 1.3] -> versicolor\n",
      "[6.7 3.1 4.4 1.4] -> versicolor\n",
      "[5.6 3.  4.5 1.5] -> versicolor\n",
      "[5.8 2.7 4.1 1. ] -> versicolor\n",
      "[6.2 2.2 4.5 1.5] -> versicolor\n",
      "[5.6 2.5 3.9 1.1] -> versicolor\n",
      "[5.9 3.2 4.8 1.8] -> versicolor\n",
      "[6.1 2.8 4.  1.3] -> versicolor\n",
      "[6.3 2.5 4.9 1.5] -> versicolor\n",
      "[6.1 2.8 4.7 1.2] -> versicolor\n",
      "[6.4 2.9 4.3 1.3] -> versicolor\n",
      "[6.6 3.  4.4 1.4] -> versicolor\n",
      "[6.8 2.8 4.8 1.4] -> versicolor\n",
      "[6.7 3.  5.  1.7] -> versicolor\n",
      "[6.  2.9 4.5 1.5] -> versicolor\n",
      "[5.7 2.6 3.5 1. ] -> versicolor\n",
      "[5.5 2.4 3.8 1.1] -> versicolor\n",
      "[5.5 2.4 3.7 1. ] -> versicolor\n",
      "[5.8 2.7 3.9 1.2] -> versicolor\n",
      "[6.  2.7 5.1 1.6] -> versicolor\n",
      "[5.4 3.  4.5 1.5] -> versicolor\n",
      "[6.  3.4 4.5 1.6] -> versicolor\n",
      "[6.7 3.1 4.7 1.5] -> versicolor\n",
      "[6.3 2.3 4.4 1.3] -> versicolor\n",
      "[5.6 3.  4.1 1.3] -> versicolor\n",
      "[5.5 2.5 4.  1.3] -> versicolor\n",
      "[5.5 2.6 4.4 1.2] -> versicolor\n",
      "[6.1 3.  4.6 1.4] -> versicolor\n",
      "[5.8 2.6 4.  1.2] -> versicolor\n",
      "[5.  2.3 3.3 1. ] -> versicolor\n",
      "[5.6 2.7 4.2 1.3] -> versicolor\n",
      "[5.7 3.  4.2 1.2] -> versicolor\n",
      "[5.7 2.9 4.2 1.3] -> versicolor\n",
      "[6.2 2.9 4.3 1.3] -> versicolor\n",
      "[5.1 2.5 3.  1.1] -> versicolor\n",
      "[5.7 2.8 4.1 1.3] -> versicolor\n",
      "[6.3 3.3 6.  2.5] -> virginica\n",
      "[5.8 2.7 5.1 1.9] -> virginica\n",
      "[7.1 3.  5.9 2.1] -> virginica\n",
      "[6.3 2.9 5.6 1.8] -> virginica\n",
      "[6.5 3.  5.8 2.2] -> virginica\n",
      "[7.6 3.  6.6 2.1] -> virginica\n",
      "[4.9 2.5 4.5 1.7] -> virginica\n",
      "[7.3 2.9 6.3 1.8] -> virginica\n",
      "[6.7 2.5 5.8 1.8] -> virginica\n",
      "[7.2 3.6 6.1 2.5] -> virginica\n",
      "[6.5 3.2 5.1 2. ] -> virginica\n",
      "[6.4 2.7 5.3 1.9] -> virginica\n",
      "[6.8 3.  5.5 2.1] -> virginica\n",
      "[5.7 2.5 5.  2. ] -> virginica\n",
      "[5.8 2.8 5.1 2.4] -> virginica\n",
      "[6.4 3.2 5.3 2.3] -> virginica\n",
      "[6.5 3.  5.5 1.8] -> virginica\n",
      "[7.7 3.8 6.7 2.2] -> virginica\n",
      "[7.7 2.6 6.9 2.3] -> virginica\n",
      "[6.  2.2 5.  1.5] -> virginica\n",
      "[6.9 3.2 5.7 2.3] -> virginica\n",
      "[5.6 2.8 4.9 2. ] -> virginica\n",
      "[7.7 2.8 6.7 2. ] -> virginica\n",
      "[6.3 2.7 4.9 1.8] -> virginica\n",
      "[6.7 3.3 5.7 2.1] -> virginica\n",
      "[7.2 3.2 6.  1.8] -> virginica\n",
      "[6.2 2.8 4.8 1.8] -> virginica\n",
      "[6.1 3.  4.9 1.8] -> virginica\n",
      "[6.4 2.8 5.6 2.1] -> virginica\n",
      "[7.2 3.  5.8 1.6] -> virginica\n",
      "[7.4 2.8 6.1 1.9] -> virginica\n",
      "[7.9 3.8 6.4 2. ] -> virginica\n",
      "[6.4 2.8 5.6 2.2] -> virginica\n",
      "[6.3 2.8 5.1 1.5] -> virginica\n",
      "[6.1 2.6 5.6 1.4] -> virginica\n",
      "[7.7 3.  6.1 2.3] -> virginica\n",
      "[6.3 3.4 5.6 2.4] -> virginica\n",
      "[6.4 3.1 5.5 1.8] -> virginica\n",
      "[6.  3.  4.8 1.8] -> virginica\n",
      "[6.9 3.1 5.4 2.1] -> virginica\n",
      "[6.7 3.1 5.6 2.4] -> virginica\n",
      "[6.9 3.1 5.1 2.3] -> virginica\n",
      "[5.8 2.7 5.1 1.9] -> virginica\n",
      "[6.8 3.2 5.9 2.3] -> virginica\n",
      "[6.7 3.3 5.7 2.5] -> virginica\n",
      "[6.7 3.  5.2 2.3] -> virginica\n",
      "[6.3 2.5 5.  1.9] -> virginica\n",
      "[6.5 3.  5.2 2. ] -> virginica\n",
      "[6.2 3.4 5.4 2.3] -> virginica\n",
      "[5.9 3.  5.1 1.8] -> virginica\n"
     ]
    }
   ],
   "source": [
    "from sklearn import datasets\n",
    "# import some data to play with\n",
    "iris = datasets.load_iris()\n",
    "\n",
    "print('*'*10, 'DATA', '*'*10)\n",
    "\n",
    "print(iris['feature_names'])\n",
    "for i, row in enumerate(iris['data']):\n",
    "    print(row, '->', iris['target_names'][iris['target'][i]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as pyplot\n",
    "%matplotlib inline\n",
    "f, axes = pyplot.subplots(4, 4, sharex='col', sharey='row')\n",
    "f.set_size_inches(20,20)\n",
    "data_transpose = iris['data'].T\n",
    "\n",
    "#Plot every pair of axes against each other (twice...!)\n",
    "for i in range(4):\n",
    "    for j in range(4):\n",
    "        if i != j:\n",
    "            axes[i][j].scatter(data_transpose[i], data_transpose[j], c=iris['target'], alpha=0.6, cmap=pyplot.cm.get_cmap(name='hot'), label='Generated Data')\n",
    "        if i == 3:\n",
    "            axes[i][j].set_xlabel(iris['feature_names'][j])\n",
    "        if j == 0:\n",
    "            axes[i][j].set_ylabel(iris['feature_names'][i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Split the data into a test and training set</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of data points 150\n",
      "Number of training data points 135\n",
      "Number of test data points 15\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "rand_indices = np.arange(len(iris['data']))\n",
    "np.random.shuffle(rand_indices)\n",
    "\n",
    "x = np.zeros((len(iris['data']), len(iris['data'][0])))\n",
    "y = np.zeros(len(iris['data']))\n",
    "\n",
    "for i, val in enumerate(rand_indices):\n",
    "    x[i] = iris['data'][val]\n",
    "    y[i] = iris['target'][val]\n",
    "\n",
    "print('Total number of data points', len(x))\n",
    "    \n",
    "x_train = x[:-15]\n",
    "y_train = y[:-15]\n",
    "\n",
    "x_test = x[len(x)-15:]\n",
    "y_test = y[len(y)-15:]\n",
    "\n",
    "print('Number of training data points', len(x_train))\n",
    "print('Number of test data points', len(x_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Train a Model on the Training set</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRAINING RESULTS\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      1.00      1.00        44\n",
      "         1.0       0.98      0.94      0.96        47\n",
      "         2.0       0.93      0.98      0.96        44\n",
      "\n",
      "    accuracy                           0.97       135\n",
      "   macro avg       0.97      0.97      0.97       135\n",
      "weighted avg       0.97      0.97      0.97       135\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "model = LogisticRegression()\n",
    "model.fit(x_train, y_train)\n",
    "\n",
    "print('TRAINING RESULTS')\n",
    "print(classification_report(y_train, model.predict(x_train)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Test the Model on the Test Set</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TEST RESULTS\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      1.00      1.00         6\n",
      "         1.0       1.00      1.00      1.00         3\n",
      "         2.0       1.00      1.00      1.00         6\n",
      "\n",
      "    accuracy                           1.00        15\n",
      "   macro avg       1.00      1.00      1.00        15\n",
      "weighted avg       1.00      1.00      1.00        15\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('TEST RESULTS')\n",
    "print(classification_report(y_test, model.predict(x_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Look at How Model is Transforming the Data</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********** Coefficients **********\n",
      "[[-0.47207578  0.92261419 -2.43566994 -1.03616122]\n",
      " [ 0.54013382 -0.30909463 -0.20600732 -0.90779722]\n",
      " [-0.06805804 -0.61351956  2.64167726  1.94395845]]\n",
      "\n",
      "********** Intercepts **********\n",
      "[  9.91681979   2.05675492 -11.97357471]\n"
     ]
    }
   ],
   "source": [
    "print('*'*10, 'Coefficients', '*'*10)\n",
    "print(model.coef_)\n",
    "print()\n",
    "print('*'*10, 'Intercepts', '*'*10)\n",
    "print(model.intercept_)\n",
    "\n",
    "mapped_values = [0,0,0]\n",
    "#Skew the data using these linear functions\n",
    "for i in range(3):\n",
    "    mapped_values[i] = np.sum(model.coef_[i]*x, axis=1) + model.intercept_[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as pyplot\n",
    "%matplotlib inline\n",
    "f, axes = pyplot.subplots(3, 3, sharex='col', sharey='row')\n",
    "f.set_size_inches(20,20)\n",
    "data_transpose = iris['data'].T\n",
    "\n",
    "#Plot every pair of output functions against each other (twice)\n",
    "for i in range(3):\n",
    "    for j in range(3):\n",
    "        \n",
    "        if i != j:\n",
    "            axes[i][j].axhline(y=0)\n",
    "            axes[i][j].axvline(x=0)\n",
    "            axes[i][j].scatter(mapped_values[i], mapped_values[j], c=y, alpha=0.6, cmap=pyplot.cm.get_cmap(name='hot'), label='Generated Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}