EDA_and_Classification(Iris_Dataset).ipynb

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  "metadata": {
    "colab": {
      "name": "EDA and Classification(Iris Dataset).ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "oSQo0TzfJiJ4",
        "colab": {
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          "height": 51
        },
        "outputId": "b7f8f17e-b700-4d4e-ce6a-d35e2187d355"
      },
      "source": [
        "%matplotlib inline\r\n",
        "import pandas as pd\r\n",
        "import numpy as np\r\n",
        "import seaborn as sb\r\n",
        "from csv import reader\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "plt.figure(figsize=(15,12))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1080x864 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x864 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "TNtQbRYTJmHC",
        "outputId": "3238018a-ecb1-4160-f79f-00d351ab070e"
      },
      "source": [
        "df=pd.read_csv(\"/content/drive/MyDrive/IrisEDA/data.csv\")\r\n",
        "df.head(100)\r\n",
        "        #to extract first five columns"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</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>1</td>\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>2</td>\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>3</td>\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</td>\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</td>\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",
              "    <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>95</th>\n",
              "      <td>96</td>\n",
              "      <td>5.7</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1.2</td>\n",
              "      <td>Iris-versicolor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>97</td>\n",
              "      <td>5.7</td>\n",
              "      <td>2.9</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>Iris-versicolor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>98</td>\n",
              "      <td>6.2</td>\n",
              "      <td>2.9</td>\n",
              "      <td>4.3</td>\n",
              "      <td>1.3</td>\n",
              "      <td>Iris-versicolor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>99</td>\n",
              "      <td>5.1</td>\n",
              "      <td>2.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.1</td>\n",
              "      <td>Iris-versicolor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>100</td>\n",
              "      <td>5.7</td>\n",
              "      <td>2.8</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1.3</td>\n",
              "      <td>Iris-versicolor</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     Id  SepalLengthCm  ...  PetalWidthCm          Species\n",
              "0     1            5.1  ...           0.2      Iris-setosa\n",
              "1     2            4.9  ...           0.2      Iris-setosa\n",
              "2     3            4.7  ...           0.2      Iris-setosa\n",
              "3     4            4.6  ...           0.2      Iris-setosa\n",
              "4     5            5.0  ...           0.2      Iris-setosa\n",
              "..  ...            ...  ...           ...              ...\n",
              "95   96            5.7  ...           1.2  Iris-versicolor\n",
              "96   97            5.7  ...           1.3  Iris-versicolor\n",
              "97   98            6.2  ...           1.3  Iris-versicolor\n",
              "98   99            5.1  ...           1.1  Iris-versicolor\n",
              "99  100            5.7  ...           1.3  Iris-versicolor\n",
              "\n",
              "[100 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "id": "C9Kz_FbUKIHv",
        "outputId": "9791c45a-6440-43fc-946c-f557f8d25ed7"
      },
      "source": [
        "df.tail(2)   #to extract last five columns"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</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>148</th>\n",
              "      <td>149</td>\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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>150</td>\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",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      Id  SepalLengthCm  ...  PetalWidthCm         Species\n",
              "148  149            6.2  ...           2.3  Iris-virginica\n",
              "149  150            5.9  ...           1.8  Iris-virginica\n",
              "\n",
              "[2 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LENW8StxKPoo",
        "outputId": "39745966-199c-455a-de01-60a35431bbc2"
      },
      "source": [
        "df.info()   #information of column data"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 150 entries, 0 to 149\n",
            "Data columns (total 6 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   Id             150 non-null    int64  \n",
            " 1   SepalLengthCm  150 non-null    float64\n",
            " 2   SepalWidthCm   150 non-null    float64\n",
            " 3   PetalLengthCm  150 non-null    float64\n",
            " 4   PetalWidthCm   150 non-null    float64\n",
            " 5   Species        150 non-null    object \n",
            "dtypes: float64(4), int64(1), object(1)\n",
            "memory usage: 7.2+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "ZGU4hy4RKRup",
        "outputId": "c5f96afc-fe5d-450c-dc6f-2c4afd0803a4"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</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",
              "      <td>150.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>75.500000</td>\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>43.445368</td>\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>1.000000</td>\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>38.250000</td>\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>75.500000</td>\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>112.750000</td>\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>150.000000</td>\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": [
              "               Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
              "count  150.000000     150.000000    150.000000     150.000000    150.000000\n",
              "mean    75.500000       5.843333      3.054000       3.758667      1.198667\n",
              "std     43.445368       0.828066      0.433594       1.764420      0.763161\n",
              "min      1.000000       4.300000      2.000000       1.000000      0.100000\n",
              "25%     38.250000       5.100000      2.800000       1.600000      0.300000\n",
              "50%     75.500000       5.800000      3.000000       4.350000      1.300000\n",
              "75%    112.750000       6.400000      3.300000       5.100000      1.800000\n",
              "max    150.000000       7.900000      4.400000       6.900000      2.500000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eAfDIjeoKWVb",
        "outputId": "294c88e8-a166-432d-8a2b-a2a262260ea9"
      },
      "source": [
        "type(df.describe())"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V9GfHw23KZBB",
        "outputId": "c7907b16-3c61-4eb6-e85d-6afcf2f98437"
      },
      "source": [
        "#check types of species\r\n",
        "df['Species'].value_counts()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Iris-virginica     50\n",
              "Iris-setosa        50\n",
              "Iris-versicolor    50\n",
              "Name: Species, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2ESNWiyBKb6x",
        "outputId": "e195959c-f2cd-4497-a007-31c81c967e4b"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(150, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wNNIdg2iKdw_",
        "outputId": "d751467f-e926-47ea-9640-2d5893c8b593"
      },
      "source": [
        "#dropping the non-required columns\r\n",
        "df1=df.drop(['Id'],axis=1)\r\n",
        "df1.shape"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(150, 5)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2m5XYzDvKkUB"
      },
      "source": [
        "###Data Visualisation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2QLCsziWKrW0"
      },
      "source": [
        "From the pair plot, it will be clear that the relationship between pairs of features are similar or different for the species"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "id": "IcO3zuSL3lAy",
        "outputId": "3c63362d-6985-46b9-9292-05f932fd1a02"
      },
      "source": [
        "%matplotlib inline\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "plt.figure(figsize=(15,12))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1080x864 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x864 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 726
        },
        "id": "i_FeGyiQKf8x",
        "outputId": "55c3eb7d-9b5c-41b0-c27a-f5d5e8544bf1"
      },
      "source": [
        "sb.pairplot(df1,hue='Species')   #(sl,sw)(pl,pw)\r\n",
        "plt.show()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 823.25x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5bv6Q5NNKzqc"
      },
      "source": [
        "####Conclusion: The diagonal plot shows the probability distribution of a single variable, upper triangle and lower triangle shows scatter plot, i.e, relation between the features and upper triangle and lower triangle are mirror images of each other"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YX1rUUwAK720"
      },
      "source": [
        "##Studying the scatter plots"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TRHzI6kcK7bq"
      },
      "source": [
        "seto=df1.loc[df1[\"Species\"]==\"Iris-setosa\"]\r\n",
        "vir=df1.loc[df1[\"Species\"]==\"Iris-virginica\"]\r\n",
        "ver=df1.loc[df1[\"Species\"]==\"Iris-versicolor\"]"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E1I3UBS9LAaJ",
        "outputId": "669a0b21-11c2-4ebd-d32a-4010c037159a"
      },
      "source": [
        "seto.shape,vir.shape,ver.shape"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((50, 5), (50, 5), (50, 5))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WUZCMWoLLNXf"
      },
      "source": [
        "##1D Scatter Plot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "h-JmIAiwLCZj",
        "outputId": "66248fca-d630-48a9-c86f-ab9565bc7eb1"
      },
      "source": [
        "plt.plot(seto[\"PetalLengthCm\"],np.zeros_like(seto[\"PetalLengthCm\"]),'o',label=\"Setosa\")\r\n",
        "plt.plot(vir[\"PetalLengthCm\"],np.zeros_like(vir[\"PetalLengthCm\"]),'o',label=\"Virginica\")\r\n",
        "plt.plot(ver[\"PetalLengthCm\"],np.zeros_like(ver[\"PetalLengthCm\"]),'o',label=\"Versicolor\")\r\n",
        "plt.legend()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f91ada22f98>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MgMMTaINLJIL"
      },
      "source": [
        "###from the 1-d scatter plot we can conclude that virginica and versicolor are more alike to each other"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WQ5aNzsxLUlC"
      },
      "source": [
        "##2D Scatter Plot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "-8dQE5f_LE6O",
        "outputId": "2996341b-085e-4e4a-e950-0973e9a270c4"
      },
      "source": [
        "df1.plot(kind='scatter',x='SepalLengthCm',y='SepalWidthCm')\r\n",
        "plt.show()             #this graph does not give any meaningful information. Therefore, we will use seaborn"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "id": "sDm5cqryLTBA",
        "outputId": "e2cf0739-b3d4-4139-c1b4-a9aae81c82d3"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(plt.scatter,'SepalLengthCm','SepalWidthCm').add_legend()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f91b6353c88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "id": "p6gsXWBELbR6",
        "outputId": "817c7c42-2a6e-4f56-c4c1-76b7e0c22845"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(plt.scatter,'PetalLengthCm','PetalWidthCm').add_legend()\r\n"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f91ad64b2b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rnAPUYI1LhA1"
      },
      "source": [
        "###From the 2-d graph it can be concluded that sepal length and sepal width of versicolor and virginica are almost collapsing while they can be differentiated on the basis of petal length and petal width."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j4vQCrtkLkwg"
      },
      "source": [
        "##HISTOGRAM and PDE (Probabiity Distribution Estimation)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a1BgdihGLock"
      },
      "source": [
        "###Histogram is an accurate graphical representation of the distribution of numerical data. It is an estimate of probablity distriution of a continuous variable"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "aXqpoNqPLd1Q",
        "outputId": "1a8dc174-189d-49b0-d6cc-e33314d96eef"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(sb.distplot,'PetalLengthCm').add_legend()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f91ad5e4860>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "xZlMoemiLryy",
        "outputId": "21832ccc-a85d-48c1-dd40-4565bf893941"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(sb.distplot,'PetalWidthCm').add_legend()\r\n",
        "plt.plot()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "83D5fohoLyWk"
      },
      "source": [
        "###Conclusion: As we compare petal length and petal width, petal length of setosa are better separable than petal width. Also, there is overlap between versicolor and virginica"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "QKHtYuTNLujt",
        "outputId": "12d33d4c-4de4-4b56-9318-113bef3651dd"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(sb.distplot,'SepalLengthCm').add_legend()\r\n",
        "plt.plot()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "mxqEB7AML1zY",
        "outputId": "1717a058-4327-478d-9896-3658fb120a92"
      },
      "source": [
        "sb.FacetGrid(df1,hue='Species').map(sb.distplot,'SepalWidthCm').add_legend()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f91b63cb7f0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 319.25x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oye-u1PFMBR7"
      },
      "source": [
        "##We can't separate any class on the basis of sepal length and sepal width because they are overlapping"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "16lpQK1uMFi0"
      },
      "source": [
        "#CLASSIFICATION ALGORITHM"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9opHXnamMFR1"
      },
      "source": [
        "from sklearn import metrics                                       #used to find accuracy\r\n",
        "from sklearn.linear_model import LogisticRegression               #used for classification\r\n",
        "from sklearn.model_selection import train_test_split              #used for splitting the data"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "95WauUw5L4jo",
        "outputId": "9931eb09-4596-404f-b069-977241b0fc3d"
      },
      "source": [
        "X=df1.drop('Species',axis=1)\r\n",
        "y=df1[\"Species\"]\r\n",
        "X.shape,y.shape"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((150, 4), (150,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CeOBVNcwMLc9",
        "outputId": "d340340f-6f2a-4fb3-ccb9-e501091b1f60"
      },
      "source": [
        "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.4,random_state=10)\r\n",
        "X_train.shape,X_test.shape,y_train.shape,y_test.shape"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((90, 4), (60, 4), (90,), (60,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BqaN5PClMNTg",
        "outputId": "514ed5e1-f392-4d0a-c571-03dd2f7961a0"
      },
      "source": [
        "lr=LogisticRegression(multi_class='auto',solver='liblinear')\r\n",
        "lr.fit(X_train,y_train)\r\n",
        "y_pred=lr.predict(X_test)\r\n",
        "metrics.accuracy_score(y_pred,y_test)"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kH-khfk-MPgu",
        "outputId": "4009d837-050c-4141-e2d0-fccd8210f8b3"
      },
      "source": [
        "lr.predict([[4.7,2.9,1.6,0.2]])"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Iris-setosa'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "inALcH-LMRoQ",
        "outputId": "0eb4a61d-d137-4f89-fa5e-5c8a3102c97b"
      },
      "source": [
        "print(lr.predict_proba([[5.9,1.9,1.6,0.2]]))"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[4.95482383e-01 5.04237834e-01 2.79782879e-04]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "noevMBV_MUaT",
        "outputId": "0da9df3c-ae12-480b-a6c3-5b115fd6ac70"
      },
      "source": [
        "lr.get_params()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'C': 1.0,\n",
              " 'class_weight': None,\n",
              " 'dual': False,\n",
              " 'fit_intercept': True,\n",
              " 'intercept_scaling': 1,\n",
              " 'l1_ratio': None,\n",
              " 'max_iter': 100,\n",
              " 'multi_class': 'auto',\n",
              " 'n_jobs': None,\n",
              " 'penalty': 'l2',\n",
              " 'random_state': None,\n",
              " 'solver': 'liblinear',\n",
              " 'tol': 0.0001,\n",
              " 'verbose': 0,\n",
              " 'warm_start': False}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kdxGvUswMWLN",
        "outputId": "aff2f37b-45ba-423a-a5ed-c27b22c367c0"
      },
      "source": [
        "lr.score(X_test,y_test)"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Sqjq9VmeMYkg",
        "outputId": "5c973a90-34d4-43a5-c933-6eb5bb49bc78"
      },
      "source": [
        "lr.sparsify()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
              "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
              "                   multi_class='auto', n_jobs=None, penalty='l2',\n",
              "                   random_state=None, solver='liblinear', tol=0.0001, verbose=0,\n",
              "                   warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d3a4xuWVMaT9",
        "outputId": "27df75d1-bebc-4eb9-f414-be6cd4e40efd"
      },
      "source": [
        "lr.classes_"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9qFTwT8xMgFq",
        "outputId": "f53a8d36-78e6-4b3a-8941-fdb6483f5c58"
      },
      "source": [
        "lr.coef_.toarray()"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.3367472 ,  1.35456416, -2.01459149, -0.94686153],\n",
              "       [ 0.68766128, -1.71873951,  0.06671239, -0.62524156],\n",
              "       [-1.43831595, -1.13462969,  2.10942653,  1.86256222]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vuiW6GaMMhjS",
        "outputId": "43480c3d-7094-4e55-c1f3-4f70f82e2f98"
      },
      "source": [
        "lr.intercept_"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 0.22212861,  0.68618642, -0.8110032 ])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6OXfBtjSMjno",
        "outputId": "c9390efc-5eb1-4f59-ec04-161dab16e22e"
      },
      "source": [
        "lr.n_iter_"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([7], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    }
  ]
}