iris_classification_FYS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"./iris-machinelearning.png\" height=60 />\n",
    "Ref[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FYS: Artificial Intelligence - Opportunities and Responsibilities "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Part 1: Project Introduction \n",
    "    Part 2: Mathematics needed for our project\n",
    "    Part 3: Loading and exploring data\n",
    "    Part 4: Changing math equations into code and building a machine learning model\n",
    "    Part 5: Training the model\n",
    "    Part 6: making predictions with a trained model\n",
    "    Part 7: Conclusion/Next steps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 1: Project Introduction "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Goal:** By the end of the course, we woulf have created a machine learning model that can classify the different species of the Iris flower. With the right data, this could be extended to any classification problem.\n",
    "<img src=\"dataset_visual.png\"/>\n",
    "Ref[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**About the data:** The <a href=\"https://www.wikiwand.com/en/Iris_flower_data_set\">Iris flower data set or Fisher's Iris data set </a> is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper titled \"The use of multiple measurements in taxonomic problems\" as an example of linear discriminant analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a small dataset commonly used to test Machine Learning classification models.\n",
    "The dataset consists of 150 samples of measurements taken from 3 species of Iris flowers. The original dataset can be found here <a href=\"https://archive.ics.uci.edu/ml/datasets/iris\"> Here </a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why did we choose this dataset? \n",
    "1. It is a small dataset with easy to understand class distinctions\n",
    "2. it is relatively simple to train a neural network or any other machine learning model on this dataset to recognize those classes.\n",
    "3. It is easy to fit this data in memory and train on it on a relatively good machine without need for extra computational power"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 2: Mathematics needed for our project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "suppose we have a bivariate data $(x_{i}, y_{i}), i = 1,...,n $ .  The goal of a linear regression is to model the relationship between x and y by finding a function $y = f(x)$ that is a close fit to the data. <br>\n",
    "The modeling assumptions we will use are that $x_{i}$ is not random and that $y_{i}$ is a function of $x_{i}$ plus some random noise. <br>\n",
    "With these assumptions, $x$ is called the independent/predictor variable and $y$ is called the dependent/response variable. <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, the iris dataset is multivariate, that is, it has more than one independent variable/inputs; Sepal length, sepal width, petal length and petal width. <br>\n",
    "Using the same logic, we can express the input x as a linear combination of the four features, $f_1, f_2,f_3 and f_4$ as <br>\n",
    "$x = w_1f_1 + w_2f_2 + w_3f_3 + w_4f_4$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Question: how do we transform a logistic regression model to a predictor <br>\n",
    "Answer: Use a logisitc function <br>\n",
    "We know that the sum of products results in a real-valued output. However, we are intested in a categorical value, ie 0 or 1. Therefore, a logistic function works as a squashing function \t$\\sigma$ that compresses the range of possible output values to the range $[0, 1]$ ie <br>\n",
    "$\\hat y = \\sigma(x)$. <br>\n",
    "Because the output is always between 0 and 1, it can be interpreted as a probability"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### sigmoid function inplementation in python "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\hat y = \\sigma(x) = \\frac{\\mathrm{1} }{\\mathrm{1} + e^{-y}}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Implementing the same function as python code. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "sns.set_palette('husl')\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigmoid_fun(z):\n",
    "    return 1.0 / (1.0 + np.exp(-z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = np.arange(-10, 10, 0.1)\n",
    "yhat = sigmoid_fun(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 389
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y, yhat)\n",
    "plt.axvline(0.0, color='k')\n",
    "plt.ylim(-0.1, 1.1)\n",
    "plt.xlabel('y')\n",
    "plt.ylabel('$\\hat y$')\n",
    "# y axis ticks and gridline\n",
    "plt.yticks([0.0, 0.5, 1.0])\n",
    "ax = plt.gca()\n",
    "ax.yaxis.grid(True)\n",
    "sns.despine()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 3: Loading and Exploring the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#load the dataset\n",
    "dataset = pd.read_csv('Iris_dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.drop([\"Id\"], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 5 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   SepalLengthCm  150 non-null    float64\n",
      " 1   SepalWidthCm   150 non-null    float64\n",
      " 2   PetalLengthCm  150 non-null    float64\n",
      " 3   PetalWidthCm   150 non-null    float64\n",
      " 4   Species        150 non-null    object \n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 6.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# basic information \n",
    "dataset.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
       "0            5.1           3.5            1.4           0.2  Iris-setosa\n",
       "1            4.9           3.0            1.4           0.2  Iris-setosa\n",
       "2            4.7           3.2            1.3           0.2  Iris-setosa\n",
       "3            4.6           3.1            1.5           0.2  Iris-setosa\n",
       "4            5.0           3.6            1.4           0.2  Iris-setosa"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 5 entries\n",
    "dataset.head() # This is the same as dataset.iloc[0:5, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
       "count     150.000000    150.000000     150.000000    150.000000\n",
       "mean        5.843333      3.054000       3.758667      1.198667\n",
       "std         0.828066      0.433594       1.764420      0.763161\n",
       "min         4.300000      2.000000       1.000000      0.100000\n",
       "25%         5.100000      2.800000       1.600000      0.300000\n",
       "50%         5.800000      3.000000       4.350000      1.300000\n",
       "75%         6.400000      3.300000       5.100000      1.800000\n",
       "max         7.900000      4.400000       6.900000      2.500000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 477,
       "width": 1037
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-white')\n",
    "dataset.hist(edgecolor=(0,0,0), linewidth=1)\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18, 8)\n",
    "sns.despine()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 440,
       "width": 425
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "petalPlt = sns.FacetGrid(dataset, hue=\"Species\", height=6).map(plt.scatter, \"PetalLengthCm\", \"PetalWidthCm\")\n",
    "plt.legend(loc='upper left');\n",
    "plt.title(\"Petal Length VS Width\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What is the bivariate relationship between each pair of the features?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 959.875x864 with 20 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 875,
       "width": 966
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = sns.pairplot(dataset,hue=\"Species\",diag_kind=\"kde\", markers='+',height =3 );\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 4: Changing math equations into code and building a machine learning model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mathematical explanation we have provided thus far is sufficent enough to provide a basic mathematical understand of linear regression. Instead of coding the same function up, we will use a framework that has already implemented this. <br>\n",
    "In your career as a machine learning practioner, it is on rare occessions that you have to implement any algorithm from scratch. Most of these algorithms have already been implemented as frameworks/Libraries; a suite of machine learning algorithms ready to be used. <br>\n",
    "The major advantages of using existing libraries include;\n",
    "1. You don't have to re-invent the wheel \n",
    "2. Constant support and updates from the massive open source communities\n",
    "3. Some of these frameworks were created by top research labs so you are always using cutting adge models/code\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examples of top frameworks include; Tensorflow, Keras, Pytorch, CAFFE, sckit-learn, etc. \n",
    "Note: However, it helps that you understand the code behind these frameworks ie take atleast a class on fundamentals of Machine Learning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this class project, we will use linear regression from <a href ='https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html?highlight=linear%20regression#sklearn.linear_model.LinearRegression' >sckit-learn</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But first, we have to prepare the data in the format that the model accepts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember, we are using (SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm) to predict (Species)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_mapping = {\n",
    "    'Iris-setosa' : 1,\n",
    "    'Iris-versicolor' : 2,\n",
    "    'Iris-virginica' : 3\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "100\n",
    "010\n",
    "001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_X = dataset.drop(['Species'], axis=1).values\n",
    "dataset_Y = dataset.Species.replace(label_mapping).values.reshape(dataset.shape[0], 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <th>Species</th>\n",
       "      <th>Labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>Iris-virginica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Iris-virginica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm         Species  \\\n",
       "0              5.1           3.5            1.4           0.2     Iris-setosa   \n",
       "1              4.9           3.0            1.4           0.2     Iris-setosa   \n",
       "2              4.7           3.2            1.3           0.2     Iris-setosa   \n",
       "3              4.6           3.1            1.5           0.2     Iris-setosa   \n",
       "4              5.0           3.6            1.4           0.2     Iris-setosa   \n",
       "..             ...           ...            ...           ...             ...   \n",
       "145            6.7           3.0            5.2           2.3  Iris-virginica   \n",
       "146            6.3           2.5            5.0           1.9  Iris-virginica   \n",
       "147            6.5           3.0            5.2           2.0  Iris-virginica   \n",
       "148            6.2           3.4            5.4           2.3  Iris-virginica   \n",
       "149            5.9           3.0            5.1           1.8  Iris-virginica   \n",
       "\n",
       "     Labels  \n",
       "0         1  \n",
       "1         1  \n",
       "2         1  \n",
       "3         1  \n",
       "4         1  \n",
       "..      ...  \n",
       "145       3  \n",
       "146       3  \n",
       "147       3  \n",
       "148       3  \n",
       "149       3  \n",
       "\n",
       "[150 rows x 6 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we just replaced the labels with values that the mode will understand\n",
    "check_df = dataset.copy()\n",
    "check_df['Labels'] = dataset_Y\n",
    "check_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(dataset_X, dataset_Y, test_size=0.3, shuffle = True, random_state = 123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (105, 4)\n",
      "X_test shape: (45, 4)\n",
      "y_train shape: (105, 1)\n",
      "y_test shape: (45, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train shape: {}\".format(X_train.shape))\n",
    "print(\"X_test shape: {}\".format(X_test.shape))\n",
    "print(\"y_train shape: {}\".format(y_train.shape))\n",
    "print(\"y_test shape: {}\".format(y_test.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "References.<br>\n",
    "1. Banner Image.https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Machine+Learning+R/iris-machinelearning.png <br>\n",
    "2. Data Explanation Image: https://medium.com/@jebaseelanravi96/machine-learning-iris-classification-33aa18a4a983 <br>\n",
    "3. Linear regression primer: https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/readings/MIT18_05S14_Reading25.pdf <br>\n",
    "4. http://karlrosaen.com/ml/notebooks/logistic-regression-why-sigmoid/ \n",
    "5. https://www.askaswiss.com/2017/12/how-to-classify-iris-species-using-logistic-regression.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (tensorflow_env)",
   "language": "python",
   "name": "tf"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}