{ "cells": [ { "cell_type": "markdown", "id": "06b52ef5", "metadata": { "toc": true }, "source": [ "

Table of Contents

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" ] }, { "cell_type": "markdown", "id": "394686db-c576-408c-993b-89f202945a9c", "metadata": { "tags": [] }, "source": [ "# Car Evaluation " ] }, { "cell_type": "markdown", "id": "c1af8347-0898-4e26-9040-5da650241d4a", "metadata": {}, "source": [ "This dataset has been downloaded from UC Irvine Machine Learning Repository. \n", "- \n", "- \n", "\n", "This dataset is regarding evaluation of cars. \n", "The target variable/label is car acceptability and has four categories : unacceptable, acceptable, good and very good.\n", "\n", "\n", "The input attributes fall under two broad categories - Price and Technical Characteristics. \n", "- Under Price, the attributes are buying price and maintenance price. \n", "- Under Technical characteristics, the attributes are doors, persons, size of luggage boot and safety.\n", "\n", "We have identified : this is an imbalanced dataset with skewed class (output category/label) proportions.\n", " \n", "**The objective is here to build a model to give multiclass classifier model based on the input attributes.** \n", " \n", ">**Summary of Key information**\n", "\n", " Number of Instances/training examples          : 1728 \n", " Number of Instances with missing attributes    :   0 \n", " Number of qualified Instances/training examples :  0\n", " \n", " Number of Input Attributes                     : 6\n", " Number of categorical attributes               :  6\n", " Number of numerical attributes                 :  0\n", " \n", " Target Attribute Type                          : Multi class label\n", " Target Class distribution                      : 70%:22%:3.9%:3.7%\n", " Problem Identification                         : Multiclass Classification with imbalanced data set\n", " \n" ] }, { "cell_type": "markdown", "id": "64dffacc-10fb-4496-aa4f-03424e2a612d", "metadata": {}, "source": [ "# Importing the necessary libraries" ] }, { "cell_type": "code", "execution_count": 350, "id": "progressive-reggae", "metadata": {}, "outputs": [], "source": [ "# Data Wrangling, inspection \n", "import numpy as np\n", "import pandas as pd\n", "import time\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "# Data preprocessing \n", "import category_encoders as ce \n", "from sklearn.preprocessing import LabelEncoder \n", "from sklearn.preprocessing import OrdinalEncoder\n", "\n", "# sklearn ml models\n", "from sklearn.model_selection import train_test_split, learning_curve\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n", "from sklearn.svm import LinearSVC\n", "\n", "# Evaluation metrics\n", "from sklearn.metrics import recall_score, precision_score, \\\n", "accuracy_score, plot_confusion_matrix, classification_report, f1_score" ] }, { "cell_type": "markdown", "id": "77539c81-88ac-4600-807c-e27b4d64aac5", "metadata": {}, "source": [ "# Loading the data set" ] }, { "cell_type": "code", "execution_count": 351, "id": "87366dce-45ee-4ecc-baad-687150c0fafc", "metadata": {}, "outputs": [], "source": [ "pathname = \"/Users/bhaskarroy/BHASKAR FILES/BHASKAR CAREER/Career/Skills/Data Science/Practise/Python/UCI Machine Learning Repository/car\"\n", "path0 = \"/car.c45-names\"\n", "path1 = \"/car.data\"\n", "path2 = \"/car.names\"\n", "\n", "\n", "pathdata = pathname + path1\n", "pathcolname = pathname + path0\n", "pathdatadesc = pathname + path2" ] }, { "cell_type": "markdown", "id": "7986ab85-9922-4590-a880-51dbaac377be", "metadata": {}, "source": [ "# Dataset Information" ] }, { "cell_type": "code", "execution_count": 352, "id": "65407827-e30a-4083-99d2-ef30f25de883", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1. Title: Car Evaluation Database\n", "\n", "2. Sources:\n", " (a) Creator: Marko Bohanec\n", " (b) Donors: Marko Bohanec (marko.bohanec@ijs.si)\n", " Blaz Zupan (blaz.zupan@ijs.si)\n", " (c) Date: June, 1997\n", "\n", "3. Past Usage:\n", "\n", " The hierarchical decision model, from which this dataset is\n", " derived, was first presented in \n", "\n", " M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for\n", " multi-attribute decision making. In 8th Intl Workshop on Expert\n", " Systems and their Applications, Avignon, France. pages 59-78, 1988.\n", "\n", " Within machine-learning, this dataset was used for the evaluation\n", " of HINT (Hierarchy INduction Tool), which was proved to be able to\n", " completely reconstruct the original hierarchical model. This,\n", " together with a comparison with C4.5, is presented in\n", "\n", " B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by\n", " function decomposition. ICML-97, Nashville, TN. 1997 (to appear)\n", "\n", "4. Relevant Information Paragraph:\n", "\n", " Car Evaluation Database was derived from a simple hierarchical\n", " decision model originally developed for the demonstration of DEX\n", " (M. Bohanec, V. Rajkovic: Expert system for decision\n", " making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates\n", " cars according to the following concept structure:\n", "\n", " CAR car acceptability\n", " . PRICE overall price\n", " . . buying buying price\n", " . . maint price of the maintenance\n", " . TECH technical characteristics\n", " . . COMFORT comfort\n", " . . . doors number of doors\n", " . . . persons capacity in terms of persons to carry\n", " . . . lug_boot the size of luggage boot\n", " . . safety estimated safety of the car\n", "\n", " Input attributes are printed in lowercase. Besides the target\n", " concept (CAR), the model includes three intermediate concepts:\n", " PRICE, TECH, COMFORT. Every concept is in the original model\n", " related to its lower level descendants by a set of examples (for\n", " these examples sets see http://www-ai.ijs.si/BlazZupan/car.html).\n", "\n", " The Car Evaluation Database contains examples with the structural\n", " information removed, i.e., directly relates CAR to the six input\n", " attributes: buying, maint, doors, persons, lug_boot, safety.\n", "\n", " Because of known underlying concept structure, this database may be\n", " particularly useful for testing constructive induction and\n", " structure discovery methods.\n", "\n", "5. Number of Instances: 1728\n", " (instances completely cover the attribute space)\n", "\n", "6. Number of Attributes: 6\n", "\n", "7. Attribute Values:\n", "\n", " buying v-high, high, med, low\n", " maint v-high, high, med, low\n", " doors 2, 3, 4, 5-more\n", " persons 2, 4, more\n", " lug_boot small, med, big\n", " safety low, med, high\n", "\n", "8. Missing Attribute Values: none\n", "\n", "9. Class Distribution (number of instances per class)\n", "\n", " class N N[%]\n", " -----------------------------\n", " unacc 1210 (70.023 %) \n", " acc 384 (22.222 %) \n", " good 69 ( 3.993 %) \n", " v-good 65 ( 3.762 %) \n", "\n" ] } ], "source": [ "with open(pathdatadesc) as f:\n", " print(f.read())" ] }, { "cell_type": "markdown", "id": "0fddd76d-fc56-49ae-8778-8bfc4db17fa6", "metadata": {}, "source": [ "# Attribute Information" ] }, { "cell_type": "code", "execution_count": 353, "id": "9f336590-9a2e-4a64-a9a4-df22fb0758b5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| names file (C4.5 format) for car evaluation domain\n", "\n", "| class values\n", "\n", "unacc, acc, good, vgood\n", "\n", "| attributes\n", "\n", "buying: vhigh, high, med, low.\n", "maint: vhigh, high, med, low.\n", "doors: 2, 3, 4, 5more.\n", "persons: 2, 4, more.\n", "lug_boot: small, med, big.\n", "safety: low, med, high.\n", "\n" ] } ], "source": [ "with open(pathcolname) as f:\n", " print(f.read())" ] }, { "cell_type": "markdown", "id": "9889be4f-3ea1-49e8-8a8f-4bb196d75893", "metadata": {}, "source": [ "# Data Preprocessing" ] }, { "cell_type": "markdown", "id": "db518e10", "metadata": {}, "source": [ "We will prepare the data for :\n", "- Exploratory Data analysis (EDA) and \n", "- for model building\n", "\n", "Following actions were undertaken:\n", "\n", "- Converting to Dataframe Format\n", "- Inspect if any missing values present\n", "- Handling Missing values : There are no missing values. Hnece, entire data can be considered for model building\n", "- Processing Categorical Attributes : categorical attributes have been converted to categorical data type for EDA.\n", "- Processing Continous Attributes : not applicable as both the input and output attributes are categorical." ] }, { "cell_type": "markdown", "id": "c0b2ffe0-a397-4351-9c4f-b65fb55126af", "metadata": {}, "source": [ "## Converting to Dataframe Format" ] }, { "cell_type": "code", "execution_count": 354, "id": "d8bf7676-a46c-4411-b068-926152a8d7e7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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buyingmaintdoorspersonslug_bootsafetyclass
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" ], "text/plain": [ " buying maint doors persons lug_boot safety class\n", "0 vhigh vhigh 2 2 small low unacc\n", "1 vhigh vhigh 2 2 small med unacc\n", "2 vhigh vhigh 2 2 small high unacc\n", "3 vhigh vhigh 2 2 med low unacc\n", "4 vhigh vhigh 2 2 med med unacc\n", "... ... ... ... ... ... ... ...\n", "1723 low low 5more more med med good\n", "1724 low low 5more more med high vgood\n", "1725 low low 5more more big low unacc\n", "1726 low low 5more more big med good\n", "1727 low low 5more more big high vgood\n", "\n", "[1728 rows x 7 columns]" ] }, "execution_count": 354, "metadata": {}, "output_type": "execute_result" } ], "source": [ "colnames = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class']\n", "data = pd.read_csv(pathdata, names = colnames, index_col = False)\n", "data" ] }, { "cell_type": "code", "execution_count": 355, "id": "54d830d3-4f7e-4e6d-b084-2c895cebb9af", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1728 entries, 0 to 1727\n", "Data columns (total 7 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 buying 1728 non-null object\n", " 1 maint 1728 non-null object\n", " 2 doors 1728 non-null object\n", " 3 persons 1728 non-null object\n", " 4 lug_boot 1728 non-null object\n", " 5 safety 1728 non-null object\n", " 6 class 1728 non-null object\n", "dtypes: object(7)\n", "memory usage: 94.6+ KB\n" ] } ], "source": [ "data.info()" ] }, { "cell_type": "code", "execution_count": 356, "id": "c8a52649-3bff-40ef-82e2-9ef2b08e4c9b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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buyingmaintdoorspersonslug_bootsafetyclass
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" ], "text/plain": [ " buying maint doors persons lug_boot safety class\n", "count 1728 1728 1728 1728 1728 1728 1728\n", "unique 4 4 4 3 3 3 4\n", "top low low 5more 4 big low unacc\n", "freq 432 432 432 576 576 576 1210" ] }, "execution_count": 356, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.describe()" ] }, { "cell_type": "code", "execution_count": 357, "id": "e715cd78-8530-4472-a303-e4f6ed20c132", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "buying object\n", "maint object\n", "doors object\n", "persons object\n", "lug_boot object\n", "safety object\n", "class object\n", "dtype: object" ] }, "execution_count": 357, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.dtypes" ] }, { "cell_type": "code", "execution_count": 358, "id": "8ce3404c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "buying 0\n", "maint 0\n", "doors 0\n", "persons 0\n", "lug_boot 0\n", "safety 0\n", "class 0\n", "dtype: int64" ] }, "execution_count": 358, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspect if any missing values present\n", "data.isnull().sum()" ] }, { "cell_type": "markdown", "id": "e964cd26-1f21-4c3c-b280-ce023c967d66", "metadata": {}, "source": [ "## Converting columns to categorical data types" ] }, { "cell_type": "code", "execution_count": 359, "id": "a1ede0b7-1e29-4d0f-98cd-0f36c00aeca5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "buying : ['vhigh', 'high', 'med', 'low']\n", "maint : ['vhigh', 'high', 'med', 'low']\n", "doors : ['2', '3', '4', '5more']\n", "persons : ['2', '4', 'more']\n", "lug_boot : ['small', 'med', 'big']\n", "safety : ['low', 'med', 'high']\n", "class : ['unacc', 'acc', 'vgood', 'good']\n" ] } ], "source": [ "for i in data.columns :\n", " print(f'{i} : {data[i].unique().tolist()}')" ] }, { "cell_type": "code", "execution_count": 360, "id": "cd132e06-4a0a-45f5-b8bd-ac28b929bc1b", "metadata": {}, "outputs": [], "source": [ "cat_vars = data.columns" ] }, { "cell_type": "code", "execution_count": 361, "id": "8faf6aa4-85c2-4913-a6fb-fa331721fd4f", "metadata": {}, "outputs": [], "source": [ "catdict = {\n", " \"buying\": ['low','med','high', 'vhigh' ],\n", " \"maint\": ['low','med','high', 'vhigh' ],\n", " \"doors\": ['2', '3', '4', '5more'],\n", " \"persons\" : ['2', '4', 'more'],\n", " \"lug_boot\" : ['small', 'med', 'big'],\n", " \"safety\" : ['low', 'med', 'high'],\n", " \"class\":['unacc', 'acc','good', 'v-good']\n", "}\n" ] }, { "cell_type": "code", "execution_count": 362, "id": "654532d7-77ef-4222-9cc8-b2c55056945a", "metadata": {}, "outputs": [], "source": [ "for i in cat_vars :\n", " data[i] = pd.Categorical(data[i], \n", " categories=catdict[i], ordered=True)" ] }, { "cell_type": "code", "execution_count": 363, "id": "e8a4465d-3cf0-4c99-94bd-a33a301129a8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "buying category\n", "maint category\n", "doors category\n", "persons category\n", "lug_boot category\n", "safety category\n", "class category\n", "dtype: object" ] }, "execution_count": 363, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.dtypes" ] }, { "cell_type": "code", "execution_count": 364, "id": "5e05fee3-0f2c-4625-87ed-b7114bc540c8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Feature: buying with ['vhigh', 'high', 'med', 'low']\n", "Categories (4, object): ['low' < 'med' < 'high' < 'vhigh'] Levels\n", "Feature: maint with ['vhigh', 'high', 'med', 'low']\n", "Categories (4, object): ['low' < 'med' < 'high' < 'vhigh'] Levels\n", "Feature: doors with ['2', '3', '4', '5more']\n", "Categories (4, object): ['2' < '3' < '4' < '5more'] Levels\n", "Feature: persons with ['2', '4', 'more']\n", "Categories (3, object): ['2' < '4' < 'more'] Levels\n", "Feature: lug_boot with ['small', 'med', 'big']\n", "Categories (3, object): ['small' < 'med' < 'big'] Levels\n", "Feature: safety with ['low', 'med', 'high']\n", "Categories (3, object): ['low' < 'med' < 'high'] Levels\n", "Feature: class with ['unacc', 'acc', NaN, 'good']\n", "Categories (3, object): ['unacc' < 'acc' < 'good'] Levels\n" ] } ], "source": [ "def show(data):\n", " for i in data.columns[0:]:\n", " print(\"Feature: {} with {} Levels\".format(i,data[i].unique()))\n", "\n", "show(data)" ] }, { "cell_type": "code", "execution_count": 365, "id": "8520a076-1a6b-42c9-92e4-ed97bec313d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "buying 0\n", "maint 0\n", "doors 0\n", "persons 0\n", "lug_boot 0\n", "safety 0\n", "class 65\n", "dtype: int64" ] }, "execution_count": 365, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.isnull().sum()" ] }, { "cell_type": "markdown", "id": "43a9234e-6959-4f30-b55a-c5f28cd51db9", "metadata": {}, "source": [ "# Univariate Analysis : Categorical Variables" ] }, { "cell_type": "code", "execution_count": 366, "id": "4b4bc61d-8a0c-47fc-8c0c-88a103dca01d", "metadata": {}, "outputs": [], "source": [ "#Accessing colors from external library Palettable\n", "from palettable.cartocolors.qualitative import Bold_10 \n", "colors = Bold_10.mpl_colors\n", "\n", "#colors = plt.cm.Dark2(range(15))\n", "#colors = plt.cm.tab20(range(15))\n", "\n", "#.colors attribute for listed colormaps\n", "#colors = plt.cm.tab10.colors \n", "#colors = plt.cm.Paired.colors" ] }, { "cell_type": "code", "execution_count": 367, "id": "c4a40d67", "metadata": {}, "outputs": [], "source": [ "# custom function for easy and efficient analysis of categorical univariate\n", "def UVA_category(data_frame, var_group = [], **kargs):\n", "\n", " '''\n", " Stands for Univariate_Analysis_categorical\n", " takes a group of variables (category) and plot/print all the value_counts and horizontal barplot.\n", "\n", " - data_frame : The Dataframe\n", " - var_group : The list of column names for univariate plots need to be plotted\n", "\n", " The keyword arguments are as follows :\n", " - col_count : The number of columns in the plot layout. Default value set is 2.\n", " For instance, if there are are 4# columns in var_group, then 4# univariate plots will be plotted in 2X2 layout.\n", " - colwidth : width of each plot\n", " - rowheight : height of each plot\n", " - normalize : Whether to present absolute values or percentage\n", " - sort_by : Whether to sort the bars by descending order of values\n", "\n", " - axlabel_fntsize : Fontsize of x axis and y axis labels\n", " - infofntsize : Fontsize in the info of unique value counts\n", " - axlabel_fntsize : fontsize of axis labels\n", " - axticklabel_fntsize : fontsize of axis tick labels\n", " - infofntfamily : Font family of info of unique value counts.\n", " Choose font family belonging to Monospace for multiline alignment.\n", " Some choices are : 'Consolas', 'Courier','Courier New', 'Lucida Sans Typewriter','Lucidatypewriter','Andale Mono'\n", " https://www.tutorialbrain.com/css_tutorial/css_font_family_list/\n", " - max_val_counts : Number of unique values for which count should be displayed\n", " - nspaces : Length of each line for the multiline strings in the info area for value_counts\n", " - ncountspaces : Length allocated to the count value for the unique values in the info area\n", " - show_percentage : Whether to show percentage of total for each unique value count\n", " Also check link for formatting syntax : https://pyformat.info/#number\n", " '''\n", "\n", " import textwrap\n", " data = data_frame.copy(deep = True)\n", " # Using dictionary with default values of keywrod arguments\n", " params_plot = dict(colcount = 2, colwidth = 7, rowheight = 4, normalize = False, sort_by = \"Values\")\n", " params_fontsize = dict(axlabel_fntsize = 10,axticklabel_fntsize = 8, infofntsize = 10)\n", " params_fontfamily = dict(infofntfamily = 'Andale Mono')\n", " params_max_val_counts = dict(max_val_counts = 10)\n", " params_infospaces = dict(nspaces = 10, ncountspaces = 4)\n", " params_show_percentage = dict(show_percentage = True)\n", "\n", "\n", "\n", " # Updating the dictionary with parameter values passed while calling the function\n", " params_plot.update((k, v) for k, v in kargs.items() if k in params_plot)\n", " params_fontsize.update((k, v) for k, v in kargs.items() if k in params_fontsize)\n", " params_fontfamily.update((k, v) for k, v in kargs.items() if k in params_fontfamily)\n", " params_max_val_counts.update((k, v) for k, v in kargs.items() if k in params_max_val_counts)\n", " params_infospaces.update((k, v) for k, v in kargs.items() if k in params_infospaces)\n", " params_show_percentage.update((k, v) for k, v in kargs.items() if k in params_show_percentage)\n", "\n", " #params = dict(**params_plot, **params_fontsize)\n", "\n", " # Initialising all the possible keyword arguments of doc string with updated values\n", " colcount = params_plot['colcount']\n", " colheight = params_plot['colheight']\n", " rowheight = params_plot['rowheight']\n", " normalize = params_plot['normalize']\n", " sort_by = params_plot['sort_by']\n", "\n", " axlabel_fntsize = params_fontsize['axlabel_fntsize']\n", " axticklabel_fntsize = params_fontsize['axticklabel_fntsize']\n", " infofntsize = params_fontsize['infofntsize']\n", " infofntfamily = params_fontfamily['infofntfamily']\n", " max_val_counts = params_max_val_counts['max_val_counts']\n", " nspaces = params_infospaces['nspaces']\n", " ncountspaces = params_infospaces['ncountspaces']\n", " show_percentage = params_show_percentage['show_percentage']\n", "\n", " if len(var_group) == 0:\n", " var_group = df.select_dtypes(exclude = ['number']).columns.to_list()\n", "\n", " import matplotlib.pyplot as plt\n", " plt.rcdefaults()\n", " # setting figure_size\n", " size = len(var_group)\n", " #rowcount = 1\n", " #colcount = size//rowcount+(size%rowcount != 0)*1\n", "\n", "\n", " colcount = colcount\n", " #print(colcount)\n", " rowcount = size//colcount+(size%colcount != 0)*1\n", "\n", " plt.figure(figsize = (colwidth*colcount,rowheight*rowcount), dpi = 150)\n", "\n", "\n", " # Converting the filtered columns as categorical\n", " for i in var_group:\n", " #data[i] = data[i].astype('category')\n", " data[i] = pd.Categorical(data[i])\n", "\n", "\n", " # for every variable\n", " for j,i in enumerate(var_group):\n", " #print('{} : {}'.format(j,i))\n", " norm_count = data[i].value_counts(normalize = normalize).sort_index()\n", " n_uni = data[i].nunique()\n", "\n", " if sort_by == \"Values\":\n", " norm_count = data[i].value_counts(normalize = normalize).sort_values(ascending = False)\n", " n_uni = data[i].nunique()\n", "\n", "\n", " #Plotting the variable with every information\n", " plt.subplot(rowcount,colcount,j+1)\n", " sns.barplot(x = norm_count, y = norm_count.index , order = norm_count.index)\n", "\n", " if normalize == False :\n", " plt.xlabel('count', fontsize = axlabel_fntsize )\n", " else :\n", " plt.xlabel('fraction/percent', fontsize = axlabel_fntsize )\n", " plt.ylabel('{}'.format(i), fontsize = axlabel_fntsize )\n", "\n", " ax = plt.gca()\n", "\n", " # textwrapping\n", " ax.set_yticklabels([textwrap.fill(str(e), 20) for e in norm_count.index], fontsize = axticklabel_fntsize)\n", "\n", " #print(n_uni)\n", " #print(type(norm_count.round(2)))\n", "\n", " # Functions to convert the pairing of unique values and value_counts into text string\n", " # Function to break a word into multiline string of fixed width per line\n", " def paddingString(word, nspaces = 20):\n", " i = len(word)//nspaces \\\n", " +(len(word)%nspaces > 0)*(len(word)//nspaces > 0)*1 \\\n", " + (len(word)//nspaces == 0)*1\n", " strA = \"\"\n", " for j in range(i-1):\n", " strA = strA+'\\n'*(len(strA)>0)+ word[j*nspaces:(j+1)*nspaces]\n", "\n", " # insert appropriate number of white spaces\n", " strA = strA + '\\n'*(len(strA)>0)*(i>1)+word[(i-1)*nspaces:] \\\n", " + \" \"*(nspaces-len(word)%nspaces)*(len(word)%nspaces > 0)\n", " return strA\n", "\n", " # Function to convert Pandas series into multi line strings\n", " def create_string_for_plot(ser, nspaces = nspaces, ncountspaces = ncountspaces, \\\n", " show_percentage = show_percentage):\n", " '''\n", " - nspaces : Length of each line for the multiline strings in the info area for value_counts\n", " - ncountspaces : Length allocated to the count value for the unique values in the info area\n", " - show_percentage : Whether to show percentage of total for each unique value count\n", " Also check link for formatting syntax : https://pyformat.info/#number\n", " '''\n", " str_text = \"\"\n", " for index, value in ser.items():\n", " str_tmp = paddingString(str(index), nspaces)+ \" : \" \\\n", " + \" \"*(ncountspaces-len(str(value)))*(len(str(value))<= ncountspaces) \\\n", " + str(value) \\\n", " + (\" | \" + \"{:4.1f}%\".format(value/ser.sum()*100))*show_percentage\n", "\n", "\n", " str_text = str_text + '\\n'*(len(str_text)>0) + str_tmp\n", " return str_text\n", "\n", " #print(create_string_for_plot(norm_count.round(2)))\n", "\n", " #Ensuring a maximum of 10 unique values displayed\n", " if norm_count.round(2).size <= max_val_counts:\n", " text = '{}\\nn_uniques = {}\\nvalue counts\\n{}' \\\n", " .format(i, n_uni,create_string_for_plot(norm_count.round(2)))\n", " ax.annotate(text = text,\n", " xy = (1.1, 1), xycoords = ax.transAxes,\n", " ha = 'left', va = 'top', fontsize = infofntsize, fontfamily = infofntfamily)\n", " else :\n", " text = '{}\\nn_uniques = {}\\nvalue counts of top 10\\n{}' \\\n", " .format(i, n_uni,create_string_for_plot(norm_count.round(2)[0:max_val_counts]))\n", " ax.annotate(text = text,\n", " xy = (1.1, 1), xycoords = ax.transAxes,\n", " ha = 'left', va = 'top', fontsize = infofntsize, fontfamily = infofntfamily)\n", "\n", "\n", " plt.gcf().tight_layout()\n" ] }, { "cell_type": "markdown", "id": "82635f09", "metadata": {}, "source": [ "## Overview of all the categorical variables " ] }, { "cell_type": "code", "execution_count": 368, "id": "5895e156-649c-463a-8b44-1b9af8a27699", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Categorical features : Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class'], dtype='object') \n", "\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda import eda_overview\n", "eda_overview.UVA_category(data, data.columns,\n", " rowheight = 3, normalize = False);" ] }, { "cell_type": "code", "execution_count": 369, "id": "9e3b3c50", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Categorical features : Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class'], dtype='object') \n", "\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda import eda_overview\n", "eda_overview.UVA_category(data, data.columns,\n", " rowheight = 3, normalize = True);" ] }, { "cell_type": "code", "execution_count": 370, "id": "fae2dadf-51e3-4d42-906d-d7634e0f06b0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda import composite_plots\n", "composite_plots.bar_counts(data, data.columns)" ] }, { "cell_type": "markdown", "id": "b0557a77", "metadata": {}, "source": [ "For the car to be acceptable, it has to be low atleast in one of the pricing parameters - maintenance or buying price" ] }, { "cell_type": "code", "execution_count": 371, "id": "f7d8adac-368d-4fea-b449-4d427f135d23", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Class Frequency')" ] }, "execution_count": 371, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dv = \"buying\"\n", "df = pd.crosstab([data[dv]],[data['class']])\n", "df.head()\n", "df.plot(kind='bar', stacked = True, title=dv )\n", "plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n", "plt.ylabel('Class Frequency')" ] }, { "cell_type": "code", "execution_count": 372, "id": "39fede0c-d19b-4e27-88cc-cbdbc8d73d35", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class'], dtype='object')" ] }, "execution_count": 372, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.columns" ] }, { "cell_type": "code", "execution_count": 373, "id": "a32d53eb-f818-489a-930a-6884f4bcdcb5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda.composite_plots import features_plots\n", "features_plots(data, ['buying', 'maint'], 'class')" ] }, { "cell_type": "code", "execution_count": 374, "id": "ca20342d-2ba2-498f-93b2-7d53ecbf04c3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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buyinglowmedhighvhigh
maintlowmedhighvhighlowmedhighvhighlowmedhighvhighlowmedhighvhigh
class
unacc62626272626272727272721087272108108
acc10103336103336363636360363600
good2323002300000000000
\n", "
" ], "text/plain": [ "buying low med high vhigh \\\n", "maint low med high vhigh low med high vhigh low med high vhigh low med \n", "class \n", "unacc 62 62 62 72 62 62 72 72 72 72 72 108 72 72 \n", "acc 10 10 33 36 10 33 36 36 36 36 36 0 36 36 \n", "good 23 23 0 0 23 0 0 0 0 0 0 0 0 0 \n", "\n", "buying \n", "maint high vhigh \n", "class \n", "unacc 108 108 \n", "acc 0 0 \n", "good 0 0 " ] }, "execution_count": 374, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(index = [data['buying'],data['maint']], columns = data['class'], margins = False).transpose()" ] }, { "cell_type": "code", "execution_count": 375, "id": "11ef76c2-a304-4cdb-bf2d-9cb5b3c06fd0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "buying maint\n", "low low 108\n", " med 108\n", " high 108\n", " vhigh 108\n", "med low 108\n", " med 108\n", " high 108\n", " vhigh 108\n", "high low 108\n", " med 108\n", " high 108\n", " vhigh 108\n", "vhigh low 108\n", " med 108\n", " high 108\n", " vhigh 108\n", "dtype: int64" ] }, "execution_count": 375, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.pivot_table(index=['buying','maint'], aggfunc='size')" ] }, { "cell_type": "code", "execution_count": 376, "id": "05e7f9b2-a143-4932-8e48-d893e119dcdd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 376, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df3 = data.groupby([\"buying\", \"maint\"]).size().reset_index(name=\"value_count\")\n", "sns.barplot(x = 'buying', y = 'value_count', hue = 'maint', data = df3)\n", "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)" ] }, { "cell_type": "markdown", "id": "be412185-df19-4953-8bd0-bbe0af86c9fb", "metadata": {}, "source": [ "CAR : car acceptability\n", "- PRICE : overall price\n", " - buying : buying price\n", " - maint : price of the maintenance\n", "\n", "- TECH : technical characteristics\n", " - COMFORT comfort\n", " - doors number of doors\n", " - persons capacity in terms of persons to carry\n", " -lug_boot the size of luggage boot\n", "\n", "- safety estimated safety of the car" ] }, { "cell_type": "code", "execution_count": 377, "id": "b7d61d48-28be-4c63-8591-fed84b85514a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
buying maint class count
0lowlowunacc62
1lowlowacc10
2lowlowgood23
3lowlowv-good0
4lowmedunacc62
5lowmedacc10
6lowmedgood23
7lowmedv-good0
8lowhighunacc62
9lowhighacc33
10lowhighgood0
11lowhighv-good0
12lowvhighunacc72
13lowvhighacc36
14lowvhighgood0
15lowvhighv-good0
16medlowunacc62
17medlowacc10
18medlowgood23
19medlowv-good0
20medmedunacc62
21medmedacc33
22medmedgood0
23medmedv-good0
24medhighunacc72
25medhighacc36
26medhighgood0
27medhighv-good0
28medvhighunacc72
29medvhighacc36
30medvhighgood0
31medvhighv-good0
32highlowunacc72
33highlowacc36
34highlowgood0
35highlowv-good0
36highmedunacc72
37highmedacc36
38highmedgood0
39highmedv-good0
40highhighunacc72
41highhighacc36
42highhighgood0
43highhighv-good0
44highvhighunacc108
45highvhighacc0
46highvhighgood0
47highvhighv-good0
48vhighlowunacc72
49vhighlowacc36
50vhighlowgood0
51vhighlowv-good0
52vhighmedunacc72
53vhighmedacc36
54vhighmedgood0
55vhighmedv-good0
56vhighhighunacc108
57vhighhighacc0
58vhighhighgood0
59vhighhighv-good0
60vhighvhighunacc108
61vhighvhighacc0
62vhighvhighgood0
63vhighvhighv-good0
" ], "text/plain": [ "" ] }, "execution_count": 377, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Random inspection - price vs class\n", "pd.set_option('display.max_rows', 20)\n", "df4 = pd.DataFrame({'count' : data.groupby(by = ['buying','maint','class']).size()}).reset_index()\n", "df4.style.background_gradient(cmap='Blues')\n", "#https://stackoverflow.com/questions/12286607/making-heatmap-from-pandas-dataframe" ] }, { "cell_type": "code", "execution_count": 378, "id": "d0ac0345-e6fd-4664-a732-586c9034e647", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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buyingmaintclasscount
0lowlowunacc62
1lowlowacc10
2lowlowgood23
3lowlowv-good0
4lowmedunacc62
...............
59vhighhighv-good0
60vhighvhighunacc108
61vhighvhighacc0
62vhighvhighgood0
63vhighvhighv-good0
\n", "

64 rows × 4 columns

\n", "
" ], "text/plain": [ " buying maint class count\n", "0 low low unacc 62\n", "1 low low acc 10\n", "2 low low good 23\n", "3 low low v-good 0\n", "4 low med unacc 62\n", ".. ... ... ... ...\n", "59 vhigh high v-good 0\n", "60 vhigh vhigh unacc 108\n", "61 vhigh vhigh acc 0\n", "62 vhigh vhigh good 0\n", "63 vhigh vhigh v-good 0\n", "\n", "[64 rows x 4 columns]" ] }, "execution_count": 378, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df4" ] }, { "cell_type": "code", "execution_count": 379, "id": "d7e0d3ad-ba74-451e-9a3e-49b65f146d75", "metadata": {}, "outputs": [], "source": [ "#pd.DataFrame(data[['buying','maint','class']].value_counts())" ] }, { "cell_type": "markdown", "id": "89f30e8c-c397-415a-b1a7-573a78615cc3", "metadata": {}, "source": [ "## Price vs Class heatmap\n", "Price has two components - buying price and maintenance.\n", "\n", "- Data is equally distributed for buying price (4 levels) and maintenance(4 levels) combinations.\n", "- Class instances of good and very good have buying price and maintenance ranging from **low and medium**." ] }, { "cell_type": "markdown", "id": "2c58d9fd", "metadata": {}, "source": [ "### Buying Price vs Class" ] }, { "cell_type": "code", "execution_count": 380, "id": "ad688a5c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
classunaccaccgood
buying
low2588946
med26811523
high3241080
vhigh360720
\n", "
" ], "text/plain": [ "class unacc acc good\n", "buying \n", "low 258 89 46\n", "med 268 115 23\n", "high 324 108 0\n", "vhigh 360 72 0" ] }, "execution_count": 380, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(index = [data['buying']], columns = data['class'], margins = False)" ] }, { "cell_type": "code", "execution_count": 381, "id": "baaa196e-6779-4b6a-99de-2a45e939355e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda.composite_plots import heatmap_plot\n", "heatmap_plot(data, index = ['buying'], column = ['class'])" ] }, { "cell_type": "markdown", "id": "a55d813c", "metadata": {}, "source": [ "### Maintenance vs Class" ] }, { "cell_type": "code", "execution_count": 382, "id": "f8516eca", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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classunaccaccgood
maint
low2689246
med26811523
high3141050
vhigh360720
\n", "
" ], "text/plain": [ "class unacc acc good\n", "maint \n", "low 268 92 46\n", "med 268 115 23\n", "high 314 105 0\n", "vhigh 360 72 0" ] }, "execution_count": 382, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(index = [data['maint']], columns = data['class'], margins = False)" ] }, { "cell_type": "code", "execution_count": 383, "id": "6230aa87", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(20.72222222222222, 0.5, 'maint')" ] }, "execution_count": 383, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(4,3))\n", "#font_kwds = dict(fontsize = 12)\n", "\n", "df_MainVsClass = pd.crosstab(index = [data['maint']], columns = data['class'], margins = False)\n", "\n", "sns.heatmap(df_MainVsClass)\n", "ax.tick_params(axis = 'both', labelcolor = 'black', labelsize = 12) \n", "plt.xlabel(ax.get_xlabel(), fontsize = 15, fontweight = 'heavy')\n", "plt.ylabel(ax.get_ylabel(), fontsize = 15, fontweight = 'heavy')" ] }, { "cell_type": "markdown", "id": "3cee1eaf", "metadata": {}, "source": [ "### Buying vs Maintenance" ] }, { "cell_type": "code", "execution_count": 384, "id": "dc269cbe", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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maintlowmedhighvhigh
buying
low108108108108
med108108108108
high108108108108
vhigh108108108108
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" ], "text/plain": [ "maint low med high vhigh\n", "buying \n", "low 108 108 108 108\n", "med 108 108 108 108\n", "high 108 108 108 108\n", "vhigh 108 108 108 108" ] }, "execution_count": 384, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_BuyingVsMaintenance = pd.crosstab(index = [data['buying']], columns = data['maint'], margins = False)\n", "\n", "df_BuyingVsMaintenance" ] }, { "cell_type": "code", "execution_count": 385, "id": "15d9ad0b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(20.72222222222222, 0.5, 'buying')" ] }, "execution_count": 385, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(4,3))\n", "#font_kwds = dict(fontsize = 12)\n", " \n", "sns.heatmap(df_BuyingVsMaintenance)\n", "ax.tick_params(axis = 'both', labelcolor = 'black', labelsize = 12) \n", "plt.xlabel(ax.get_xlabel(), fontsize = 15, fontweight = 'heavy')\n", "plt.ylabel(ax.get_ylabel(), fontsize = 15, fontweight = 'heavy')" ] }, { "cell_type": "markdown", "id": "61bac1a6", "metadata": {}, "source": [ "### Price (Buying Price and Maintenance) vs Class" ] }, { "cell_type": "code", "execution_count": 386, "id": "924fc7dd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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classunaccaccgood
buyingmaint
lowlow621023
med621023
high62330
vhigh72360
medlow621023
med62330
high72360
vhigh72360
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med72360
high72360
vhigh10800
vhighlow72360
med72360
high10800
vhigh10800
\n", "
" ], "text/plain": [ "class unacc acc good\n", "buying maint \n", "low low 62 10 23\n", " med 62 10 23\n", " high 62 33 0\n", " vhigh 72 36 0\n", "med low 62 10 23\n", " med 62 33 0\n", " high 72 36 0\n", " vhigh 72 36 0\n", "high low 72 36 0\n", " med 72 36 0\n", " high 72 36 0\n", " vhigh 108 0 0\n", "vhigh low 72 36 0\n", " med 72 36 0\n", " high 108 0 0\n", " vhigh 108 0 0" ] }, "execution_count": 386, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_PricingVsClass = pd.crosstab(index = [data['buying'],data['maint']], columns = data['class'], margins = False)\n", "\n", "df_PricingVsClass" ] }, { "cell_type": "code", "execution_count": 387, "id": "4ffd8fe7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(33.222222222222214, 0.5, 'buying-maint')" ] }, "execution_count": 387, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(5,4))\n", "#font_kwds = dict(fontsize = 12)\n", "sns.heatmap(df_PricingVsClass)\n", "ax.tick_params(axis = 'both', labelcolor = 'black', labelsize = 10) \n", "plt.xlabel(ax.get_xlabel(), fontsize = 8, fontweight = 'heavy')\n", "plt.ylabel(ax.get_ylabel(), fontsize = 8, fontweight = 'heavy')" ] }, { "cell_type": "markdown", "id": "481a37ef-daf7-4326-8b30-88fba02786eb", "metadata": {}, "source": [ "## Comfort vs Class Heatmaps\n", "\n", "Comfort has three aspects - doors, luggage boot size and persons\n", "\n", "- All two persons car are classified as Unacceptable.\n", "- No specific pattern emerging from EDA of Comfort vs Class." ] }, { "cell_type": "code", "execution_count": 388, "id": "50fd6d49-b405-444e-a8d1-c8c4236560d4", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda.composite_plots import heatmap_plot\n", "heatmap_plot(data, ['lug_boot'], ['class'])" ] }, { "cell_type": "code", "execution_count": 389, "id": "17543f77-d113-4534-a5cb-47cd465e9ad5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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classunaccaccgood
doorslug_boot
2small126153
med108306
big92366
3small108306
med100336
big92366
4small108306
med92366
big92366
5moresmall108306
med92366
big92366
\n", "
" ], "text/plain": [ "class unacc acc good\n", "doors lug_boot \n", "2 small 126 15 3\n", " med 108 30 6\n", " big 92 36 6\n", "3 small 108 30 6\n", " med 100 33 6\n", " big 92 36 6\n", "4 small 108 30 6\n", " med 92 36 6\n", " big 92 36 6\n", "5more small 108 30 6\n", " med 92 36 6\n", " big 92 36 6" ] }, "execution_count": 389, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab([data['doors'], data['lug_boot']], [data['class']])" ] }, { "cell_type": "code", "execution_count": 390, "id": "34b5fa1b-729a-40c6-9c1c-439da535f52a", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda.composite_plots import heatmap_plot\n", "heatmap_plot(data, ['doors','lug_boot'], ['class'])" ] }, { "cell_type": "code", "execution_count": 391, "id": "d85ddf5b-604f-4bd4-bc0d-ebe83c714271", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class'], dtype='object')" ] }, "execution_count": 391, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.columns" ] }, { "cell_type": "markdown", "id": "f960c737-2865-4982-9b60-e550cc5e58c9", "metadata": {}, "source": [ "# Defining the Problem" ] }, { "cell_type": "markdown", "id": "c18876fc-d03b-4a70-8b78-73b31c34936a", "metadata": {}, "source": [ "This is a multiclass classification problem. \n", "Data is imbalanced as all the classes are not equally represented. \n", "Accuracy is not the metric to use when working with an imbalanced dataset. We have seen that it is misleading. \n", "Instead, we can use below performance measures : \n", "- Confusion Matrix: A breakdown of predictions into a table showing correct predictions (the diagonal) and the types of incorrect predictions made (what classes incorrect predictions were assigned). \n", "- Precision: A measure of a classifiers exactness. \n", "- Recall: A measure of a classifiers completeness \n", "- F1 Score (or F-score): A weighted average of precision and recall. \n", "\n", "\n", "Appropriateness of the performance measures : \n", "- Accuracy : Appropriate for Balanced datasets \n", "- Precision : Appropriate when minimising false positive is the focus \n", "- Recall : Appropriate when minimising false negatives is the focus. \n", "- F-measure provides a way to combine both precision and recall into a single measure that captures both properties. \n", " \n", "Note : It is common practice to measure efficacy of binary classification models using the **Area under the Curve** (AUC) of the ROC curve. Multi class classicfication will require some tweaks in the ROC AUC approach. We are not pursuing that in this notebook. Read this for more info :https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html\n", "\n", "http://www.svds.com/learning-imbalanced-classes/\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 392, "id": "e8a2b901-1c93-49ab-80da-09e5fb1ae364", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from eda.axes_utils import Add_valuecountsinfo, Add_data_labels\n", "\n", "ax = data['class'].value_counts().plot(kind = 'bar', figsize=(3,3))\n", "ax.yaxis.grid(True, alpha = 0.3)\n", "ax.set(axisbelow = True)\n", "Add_data_labels(ax.patches)\n", "Add_valuecountsinfo(ax, 'class', data)" ] }, { "cell_type": "code", "execution_count": 393, "id": "f9762887-470f-4189-b672-bf56c00da538", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['Add_data_labels', 'Add_valuecountsinfo', 'Change_barWidth', 'Highlight_Top_n_values', 'Set_axes_labels_titles', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'blended_transform_factory', 'create_string_for_plot', 'get_hist', 'gridspec', 'mdates', 'np', 'paddingString', 'pd', 'plt', 'sns', 'stylize_axes', 'time']\n" ] } ], "source": [ "from eda import axes_utils\n", "print(list(dir(axes_utils)))" ] }, { "cell_type": "markdown", "id": "09680ef5-0675-4939-8c5f-ca44a49d641a", "metadata": {}, "source": [ "# Approach for imbalanced datasets\n", "\n", "Techniques to correctly distinguish the minority class can be categorized into *four main groups*, depending on how they deal with the problem. The four groups are : \n", " \n", "*** \n", "1. **Algorithm level approaches** (also called internal), try to adapt existing classifier learning algorithms to bias the learning toward the minority class. In order to perform the adaptation a special knowledge of both the corresponding classifier and the application domain is required so as to comprehend why the classifier fails when the class distribution is uneven. More details about these types of methods are given in Chap. 6. \n", "*** \n", " \n", "2. **Data level (or external) approaches** aim at rebalancing the class distribution by resampling the data space . This way, the modification of the learning algorithm is avoided since the effect caused by imbalance is decreased with a preprocessing step. These methods are discussed in depth in Chap. 5. \n", "*** \n", "3. **Cost-sensitive learning** framework falls between data and algorithm level approaches. Both data level transformations (by adding costs to instances) and algorithm level modifications (by modifying the learning process to accept costs) [13, 48, 86] are incorporated. The classifier is biased toward the minority class by assuming higher misclassification costs for this class and seeking to minimize the total cost errors of both classes. An overview of cost-sensitive approaches for the class imbalance problem is presented Chap. 4. \n", "*** \n", "4. **Ensemble-based methods** usually consist of a combination between an ensemble learning algorithm [59] and one of the techniques above, specifically, data level and cost-sensitive ones [27]. Adding a data level approach to the ensemble learning algorithm, the new hybrid method usually preprocesses the data before training each classifier, whereas cost-sensitive ensembles instead of modifying the base classifier in order to accept costs in the learning process, guide the cost minimization via the ensemble learning algorithm. Ensemble-based models are thoroughly described in Chap. 7. \n", "*** \n", "*Learning from imbalanced datasets* by Alberto Fernandez et al" ] }, { "cell_type": "markdown", "id": "86ef0716-f228-43bd-a850-70ecb2ebbdfd", "metadata": {}, "source": [ "# Applying Machine Learning Algorithms for classification" ] }, { "cell_type": "markdown", "id": "2ab04fa9-f442-4d1a-a142-eda04d65aea8", "metadata": {}, "source": [ "## Training and testing the data" ] }, { "cell_type": "code", "execution_count": 394, "id": "505581f1-1ff0-4630-b599-15554fd3b0b6", "metadata": {}, "outputs": [], "source": [ "X_cols = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety']\n", "Y_cols = ['class']\n", "\n", "X = data[X_cols]\n", "Y = data[Y_cols]" ] }, { "cell_type": "code", "execution_count": 395, "id": "3b89b376-d91c-4301-b105-edd0fa7e7af2", "metadata": {}, "outputs": [], "source": [ "# Train test split\n", "X_train, X_test, y_train, y_test = train_test_split(X, Y, random_state=1)" ] }, { "cell_type": "code", "execution_count": 396, "id": "b1b49881-1a0b-4ef0-8c4d-ce85bb3f9bf5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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buyingmaintdoorspersonslug_bootsafety
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" ], "text/plain": [ " buying maint doors persons lug_boot safety\n", "142 vhigh high 3 2 big med\n", "1026 med high 4 2 small low\n", "537 high vhigh 5more more big low\n", "1298 low vhigh 2 2 small high\n", "1296 low vhigh 2 2 small low\n", "... ... ... ... ... ... ...\n", "715 high med 4 4 med med\n", "905 med vhigh 3 4 med high\n", "1096 med med 2 4 big med\n", "235 vhigh med 2 more small med\n", "1061 med high 5more 2 big high\n", "\n", "[1296 rows x 6 columns]" ] }, "execution_count": 396, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train" ] }, { "cell_type": "markdown", "id": "d8c3a023-407d-4c00-9286-aa8504040c43", "metadata": {}, "source": [ "## Preparing the data" ] }, { "cell_type": "code", "execution_count": 397, "id": "b65ccf61-0faa-472e-81c6-a7f4b8e5140e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train (1296, 6) (1296, 1)\n", "Test (432, 6) (432, 1)\n" ] } ], "source": [ "# summarize\n", "print('Train', X_train.shape, y_train.shape)\n", "print('Test', X_test.shape, y_test.shape)" ] }, { "cell_type": "code", "execution_count": 398, "id": "sharing-deficit", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety'], dtype='object')\n", "Index(['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety'], dtype='object')\n" ] } ], "source": [ "#Verifying order of columns\n", "#cat = [\"buying\",\"maint\",\"doors\",\"persons\",\"lug_boot\",\"safety\"]\n", "print(X_train.columns)\n", "print(X_test.columns)" ] }, { "cell_type": "code", "execution_count": 399, "id": "27625833-8b17-46e9-b70d-0359a006a5fb", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import OrdinalEncoder\n", "\n", "#https://scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html#sphx-glr-auto-examples-applications-plot-cyclical-feature-engineering-py\n", "\n", "# prepare input data\n", "def prepare_inputs(X_train, X_test): \n", " oe = OrdinalEncoder(categories = [['low','med','high', 'vhigh' ],\n", " ['low','med','high', 'vhigh' ],\n", " ['2', '3', '4', '5more'],\n", " ['2', '4', 'more'],\n", " ['small', 'med', 'big'],\n", " ['low', 'med', 'high']]\n", " )\n", " oe.fit(X_train)\n", " X_train_enc = oe.transform(X_train) \n", " X_test_enc = oe.transform(X_test) \n", " \n", " return X_train_enc, X_test_enc" ] }, { "cell_type": "code", "execution_count": 400, "id": "d1eb6d1a-10c7-4718-8a85-f90598b33e11", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import LabelEncoder\n", "\n", "# prepare input data\n", "def prepare_targets(y_train, y_test): \n", " le = LabelEncoder()\n", " le.fit(np.ravel(y_train))\n", " y_train_enc = le.transform(np.ravel(y_train)) \n", " y_test_enc = le.transform(np.ravel(y_test)) \n", " \n", " return y_train_enc, y_test_enc" ] }, { "cell_type": "code", "execution_count": 401, "id": "50dce69e-39b7-4591-bee5-074e5d997361", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import OrdinalEncoder\n", "# prepare input data\n", "X_train_enc, X_test_enc = prepare_inputs(X_train, X_test)\n", "\n", "# prepare output data\n", "y_train_enc, y_test_enc = prepare_targets(y_train, y_test)" ] }, { "cell_type": "markdown", "id": "a4fdfcaa-b90f-4043-a09d-598f942f2069", "metadata": {}, "source": [ "## Feature Selection (Optional)\n", "\n", "Comparison of below three scenarios do not justify feature selection methods.\n", "- Accuracy when all features are considered : 81.02%\n", "- Accuracy when 4 features selected through \"information gain\" considered\n", "- Accuracy when 4 features selected through \"Chi Squared\" considered\n", "\n", "Note we have applied Logistic regression classifier on all three scenarios to check any significant movement in the accuracy scores." ] }, { "cell_type": "code", "execution_count": 402, "id": "acde4c7e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 81.02\n" ] } ], "source": [ "# fit the model using all the features\n", "model = LogisticRegression(solver='lbfgs', max_iter = 1000)\n", "model.fit(X_train_enc, y_train_enc)\n", "# evaluate the model\n", "yhat = model.predict(X_test_enc)\n", "# evaluate predictions\n", "accuracy = accuracy_score(y_test_enc, yhat)\n", "print('Accuracy: %.2f' % (accuracy*100))" ] }, { "cell_type": "markdown", "id": "85789bc1-b34f-4938-b604-2ac1d04f342e", "metadata": {}, "source": [ "### example of mutual information feature selection for categorical data" ] }, { "cell_type": "code", "execution_count": 403, "id": "9575436a-8842-4ce2-96b7-b4a58ee297b3", "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_selection import SelectKBest\n", "from sklearn.feature_selection import mutual_info_classif" ] }, { "cell_type": "code", "execution_count": 404, "id": "1a7cf027-5d45-4b1e-b06f-8fcfbabcc895", "metadata": {}, "outputs": [], "source": [ "# feature selection\n", "def select_features(X_train, y_train, X_test):\n", " fs = SelectKBest(score_func=mutual_info_classif, k=4) \n", " fs.fit(X_train, y_train)\n", " X_train_fs = fs.transform(X_train)\n", " X_test_fs = fs.transform(X_test)\n", " return X_train_fs, X_test_fs, fs" ] }, { "cell_type": "code", "execution_count": 405, "id": "bab8ecf1-cfaf-4c41-b6ba-12fc360a6b9b", "metadata": {}, "outputs": [], "source": [ "# feature selection\n", "X_train_fs, X_test_fs, fs = select_features(X_train_enc, y_train_enc, X_test_enc)" ] }, { "cell_type": "code", "execution_count": 406, "id": "6b93775b-7ce0-492a-958c-1615481b9a4f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Feature 0: 0.053196\n", "Feature 1: 0.022979\n", "Feature 2: 0.000000\n", "Feature 3: 0.146334\n", "Feature 4: 0.005870\n", "Feature 5: 0.179178\n" ] } ], "source": [ "# what are scores for the features\n", "for i in range(len(fs.scores_)):\n", " print('Feature %d: %f' % (i, fs.scores_[i]))" ] }, { "cell_type": "code", "execution_count": 407, "id": "04f9f8e7-2f1c-47f5-b33c-3d996c456c5d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot the scores\n", "plt.bar([i for i in range(len(fs.scores_))], fs.scores_) \n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 408, "id": "b4eed9d6-3482-4c37-8b67-e5f0d0442267", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 81.25\n" ] } ], "source": [ "# fit the model\n", "model = LogisticRegression(solver='lbfgs',max_iter= 1000)\n", "model.fit(X_train_fs, y_train_enc)\n", "# evaluate the model\n", "yhat = model.predict(X_test_fs)\n", "# evaluate predictions\n", "accuracy = accuracy_score(y_test_enc, yhat)\n", "print('Accuracy: %.2f' % (accuracy*100))" ] }, { "cell_type": "markdown", "id": "6d14b8d2-4a63-4677-84a2-b86a9e98d609", "metadata": {}, "source": [ "### example of chi squared feature selection for categorical data" ] }, { "cell_type": "code", "execution_count": 409, "id": "f101690c-5e4f-437c-89be-f5be1b3d7d93", "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_selection import chi2\n", "# feature selection\n", "def select_features2(X_train, y_train, X_test): \n", " fs = SelectKBest(score_func=chi2, k=4)\n", " fs.fit(X_train, y_train)\n", " X_train_fs = fs.transform(X_train)\n", " X_test_fs = fs.transform(X_test)\n", " return X_train_fs, X_test_fs, fs" ] }, { "cell_type": "code", "execution_count": 410, "id": "0888b088-79fb-4563-a698-bed390c9e9d0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Feature 0: 107.312113\n", "Feature 1: 71.158014\n", "Feature 2: 5.761583\n", "Feature 3: 136.535729\n", "Feature 4: 27.666582\n", "Feature 5: 197.004190\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# feature selection\n", "X_train_fs2, X_test_fs2, fs2 = select_features2(X_train_enc, y_train_enc, X_test_enc)\n", "\n", "# what are scores for the features\n", "for i in range(len(fs2.scores_)):\n", " print('Feature %d: %f' % (i, fs2.scores_[i]))\n", "\n", "# plot the scores\n", "plt.bar([i for i in range(len(fs2.scores_))], fs2.scores_) \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 411, "id": "ee7a0b70-23d2-45b5-aa3d-f23f724e35fc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 81.25\n" ] } ], "source": [ "# fit the model\n", "model = LogisticRegression(solver='lbfgs',max_iter= 1000)\n", "model.fit(X_train_fs2, y_train_enc)\n", "# evaluate the model\n", "yhat = model.predict(X_test_fs2)\n", "# evaluate predictions\n", "accuracy = accuracy_score(y_test_enc, yhat)\n", "print('Accuracy: %.2f' % (accuracy*100))" ] }, { "cell_type": "markdown", "id": "17a90c69-021d-40da-b0c4-1636155dad92", "metadata": {}, "source": [ "## Popular algorithms for multi-class classification include:\n", " \n", "- k-Nearest Neighbors \n", "- Decision Trees \n", "- Naive Bayes \n", "- Random Forest \n", "- Gradient Boosting \n", "\n", "\n", " \n", "Useful links :\n", "- https://scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble\n", "- https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn-ensemble-gradientboostingclassifier)" ] }, { "cell_type": "markdown", "id": "aad2c639-e3f3-4fc0-b33b-9d4e0d5a4b04", "metadata": {}, "source": [ "A learning curve shows the validation and training score of an estimator for varying numbers of training samples. It is a tool to find out how much we benefit from adding more training data and whether the estimator suffers more from a variance error or a bias error. \n", "\n", "- \n", "- " ] }, { "cell_type": "code", "execution_count": 412, "id": "80de1a87-950a-4d0c-b603-01a76d041f79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.00s\n" ] } ], "source": [ "# Sample code for calculating time\n", "\n", "st_time = time.time()\n", "\n", "#code.......\n", "#code.......\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))" ] }, { "cell_type": "code", "execution_count": 413, "id": "3d692ac1-426d-4733-b614-be173ca6f0f8", "metadata": {}, "outputs": [], "source": [ "# Refer to section 8 for the evaluation metrics\n", "\n", "def evaluation_parametrics(y_train,yp_train,y_test,yp_test):\n", " print(\"--------------------------------------------------------------------------\")\n", " print(\"Classification Report for Train Data\")\n", " print(classification_report(y_train, yp_train))\n", " print(\"Classification Report for Test Data\")\n", " print(classification_report(y_test, yp_test))\n", " print(\"--------------------------------------------------------------------------\")\n", " # Accuracy\n", " print(\"Accuracy on Train Data is: {}\".format(round(accuracy_score(y_train,yp_train),2)))\n", " print(\"Accuracy on Test Data is: {}\".format(round(accuracy_score(y_test,yp_test),2)))\n", " print(\"--------------------------------------------------------------------------\")\n", " # Precision\n", " print(\"Precision on Train Data is: {}\".format(round(precision_score(y_train,yp_train,average = \"weighted\"),2)))\n", " print(\"Precision on Test Data is: {}\".format(round(precision_score(y_test,yp_test,average = \"weighted\"),2)))\n", " print(\"--------------------------------------------------------------------------\")\n", " # Recall \n", " print(\"Recall on Train Data is: {}\".format(round(recall_score(y_train,yp_train,average = \"weighted\"),2)))\n", " print(\"Recall on Test Data is: {}\".format(round(recall_score(y_test,yp_test,average = \"weighted\"),2)))\n", " print(\"--------------------------------------------------------------------------\")\n", " # F1 Score\n", " print(\"F1 Score on Train Data is: {}\".format(round(f1_score(y_train,yp_train,average = \"weighted\"),2)))\n", " print(\"F1 Score on Test Data is: {}\".format(round(f1_score(y_test,yp_test,average = \"weighted\"),2)))\n", " print(\"--------------------------------------------------------------------------\")" ] }, { "cell_type": "code", "execution_count": 414, "id": "dc0fc4d9-f3e7-4229-9e93-06a0d17b0a5e", "metadata": {}, "outputs": [], "source": [ "# Creating custom method to populate a dictionary object with evaluation scores of the classifiers \n", "\n", "def create_dict(model, modelname, y_train, yp_train, y_test, yp_test):\n", " dict1 = {modelname : {\"F1\" : {\"Train\": float(np.round(f1_score(y_train,yp_train,average = \"weighted\"),2)),\n", " \"Test\": float(np.round(f1_score(y_test,yp_test,average = \"weighted\"),2))},\n", " \"Recall\": {\"Train\": float(np.round(recall_score(y_train,yp_train,average = \"weighted\"),2)),\n", " \"Test\": float(np.round(recall_score(y_test,yp_test,average = \"weighted\"),2))},\n", " \"Precision\" :{\"Train\": float(np.round(precision_score(y_train,yp_train,average = \"weighted\"),2)),\n", " \"Test\": float(np.round(precision_score(y_test,yp_test,average = \"weighted\"),2))\n", " }}\n", " \n", " }\n", " return dict1\n", "\n", "dict = {}" ] }, { "cell_type": "code", "execution_count": 415, "id": "51b775c2-a012-4b4e-814b-fe450a8b1fc9", "metadata": {}, "outputs": [], "source": [ "def plot_learning_curve(\n", " estimator,\n", " title,\n", " X,\n", " y,\n", " axes=None,\n", " ylim=None,\n", " cv=None,\n", " n_jobs=None,\n", " train_sizes=np.linspace(0.1, 1.0, 5),\n", "):\n", " \"\"\"\n", " Generate 3 plots: the test and training learning curve, the training\n", " samples vs fit times curve, the fit times vs score curve.\n", "\n", " Parameters\n", " ----------\n", " estimator : estimator instance\n", " An estimator instance implementing `fit` and `predict` methods which\n", " will be cloned for each validation.\n", "\n", " title : str\n", " Title for the chart.\n", "\n", " X : array-like of shape (n_samples, n_features)\n", " Training vector, where ``n_samples`` is the number of samples and\n", " ``n_features`` is the number of features.\n", "\n", " y : array-like of shape (n_samples) or (n_samples, n_features)\n", " Target relative to ``X`` for classification or regression;\n", " None for unsupervised learning.\n", "\n", " axes : array-like of shape (3,), default=None\n", " Axes to use for plotting the curves.\n", "\n", " ylim : tuple of shape (2,), default=None\n", " Defines minimum and maximum y-values plotted, e.g. (ymin, ymax).\n", "\n", " cv : int, cross-validation generator or an iterable, default=None\n", " Determines the cross-validation splitting strategy.\n", " Possible inputs for cv are:\n", "\n", " - None, to use the default 5-fold cross-validation,\n", " - integer, to specify the number of folds.\n", " - :term:`CV splitter`,\n", " - An iterable yielding (train, test) splits as arrays of indices.\n", "\n", " For integer/None inputs, if ``y`` is binary or multiclass,\n", " :class:`StratifiedKFold` used. If the estimator is not a classifier\n", " or if ``y`` is neither binary nor multiclass, :class:`KFold` is used.\n", "\n", " Refer :ref:`User Guide ` for the various\n", " cross-validators that can be used here.\n", "\n", " n_jobs : int or None, default=None\n", " Number of jobs to run in parallel.\n", " ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.\n", " ``-1`` means using all processors. See :term:`Glossary `\n", " for more details.\n", "\n", " train_sizes : array-like of shape (n_ticks,)\n", " Relative or absolute numbers of training examples that will be used to\n", " generate the learning curve. If the ``dtype`` is float, it is regarded\n", " as a fraction of the maximum size of the training set (that is\n", " determined by the selected validation method), i.e. it has to be within\n", " (0, 1]. Otherwise it is interpreted as absolute sizes of the training\n", " sets. Note that for classification the number of samples usually have\n", " to be big enough to contain at least one sample from each class.\n", " (default: np.linspace(0.1, 1.0, 5))\n", " \"\"\"\n", " if axes is None:\n", " _, axes = plt.subplots(1, 3, figsize=(20, 5))\n", "\n", " axes[0].set_title(title)\n", " if ylim is not None:\n", " axes[0].set_ylim(*ylim)\n", " axes[0].set_xlabel(\"Training examples\")\n", " axes[0].set_ylabel(\"Score\")\n", "\n", " train_sizes, train_scores, test_scores, fit_times, _ = learning_curve(\n", " estimator,\n", " X,\n", " y,\n", " cv=cv,\n", " n_jobs=n_jobs,\n", " train_sizes=train_sizes,\n", " return_times=True,\n", " )\n", " train_scores_mean = np.mean(train_scores, axis=1)\n", " train_scores_std = np.std(train_scores, axis=1)\n", " test_scores_mean = np.mean(test_scores, axis=1)\n", " test_scores_std = np.std(test_scores, axis=1)\n", " fit_times_mean = np.mean(fit_times, axis=1)\n", " fit_times_std = np.std(fit_times, axis=1)\n", "\n", " # Plot learning curve\n", " axes[0].grid()\n", " axes[0].fill_between(\n", " train_sizes,\n", " train_scores_mean - train_scores_std,\n", " train_scores_mean + train_scores_std,\n", " alpha=0.1,\n", " color=\"r\",\n", " )\n", " axes[0].fill_between(\n", " train_sizes,\n", " test_scores_mean - test_scores_std,\n", " test_scores_mean + test_scores_std,\n", " alpha=0.1,\n", " color=\"g\",\n", " )\n", " axes[0].plot(\n", " train_sizes, train_scores_mean, \"o-\", color=\"r\", label=\"Training score\"\n", " )\n", " axes[0].plot(\n", " train_sizes, test_scores_mean, \"o-\", color=\"g\", label=\"Cross-validation score\"\n", " )\n", " axes[0].legend(loc=\"best\")\n", "\n", " # Plot n_samples vs fit_times\n", " axes[1].grid()\n", " axes[1].plot(train_sizes, fit_times_mean, \"o-\")\n", " axes[1].fill_between(\n", " train_sizes,\n", " fit_times_mean - fit_times_std,\n", " fit_times_mean + fit_times_std,\n", " alpha=0.1,\n", " )\n", " axes[1].set_xlabel(\"Training examples\")\n", " axes[1].set_ylabel(\"fit_times\")\n", " axes[1].set_title(\"Scalability of the model\")\n", "\n", " # Plot fit_time vs score\n", " fit_time_argsort = fit_times_mean.argsort()\n", " fit_time_sorted = fit_times_mean[fit_time_argsort]\n", " test_scores_mean_sorted = test_scores_mean[fit_time_argsort]\n", " test_scores_std_sorted = test_scores_std[fit_time_argsort]\n", " axes[2].grid()\n", " axes[2].plot(fit_time_sorted, test_scores_mean_sorted, \"o-\")\n", " axes[2].fill_between(\n", " fit_time_sorted,\n", " test_scores_mean_sorted - test_scores_std_sorted,\n", " test_scores_mean_sorted + test_scores_std_sorted,\n", " alpha=0.1,\n", " )\n", " axes[2].set_xlabel(\"fit_times\")\n", " axes[2].set_ylabel(\"Score\")\n", " axes[2].set_title(\"Performance of the model\")\n", "\n", " return plt" ] }, { "cell_type": "markdown", "id": "a8b50159-61c9-4942-8e28-cbc5bc697ef3", "metadata": {}, "source": [ "## Logistic Regression Classifier" ] }, { "cell_type": "code", "execution_count": 416, "id": "cec4c292-cb0c-4a73-ad1f-111e8ed6431e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.06s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.68 0.63 0.66 296\n", " 1 0.60 0.41 0.49 51\n", " 2 0.89 0.93 0.91 900\n", " 3 0.80 0.71 0.75 49\n", "\n", " accuracy 0.83 1296\n", " macro avg 0.74 0.67 0.70 1296\n", "weighted avg 0.83 0.83 0.83 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.60 0.53 0.57 88\n", " 1 0.42 0.28 0.33 18\n", " 2 0.88 0.93 0.90 310\n", " 3 0.79 0.69 0.73 16\n", "\n", " accuracy 0.81 432\n", " macro avg 0.67 0.61 0.63 432\n", "weighted avg 0.80 0.81 0.80 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.83\n", "Accuracy on Test Data is: 0.81\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.83\n", "Precision on Test Data is: 0.8\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.83\n", "Recall on Test Data is: 0.81\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.83\n", "F1 Score on Test Data is: 0.8\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 416, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "lr = LogisticRegression(max_iter = 1000,random_state = 48, multi_class = 'multinomial')\n", "\n", "st_time = time.time()\n", "lr.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = lr.predict(X_train_enc)\n", "yp_test_enc = lr.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(lr,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(lr, \"Logistic Regression Classifier\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(lr, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Logistic Regression Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))\n" ] }, { "cell_type": "markdown", "id": "c1777473-f41f-44fa-a83c-60b0af6051c6", "metadata": {}, "source": [ "## Decision Tree Classifier" ] }, { "cell_type": "code", "execution_count": 417, "id": "119ba0af-342c-44d1-815b-a0711587533f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.84 0.96 0.89 296\n", " 1 0.83 0.59 0.69 51\n", " 2 0.99 0.96 0.98 900\n", " 3 0.79 0.78 0.78 49\n", "\n", " accuracy 0.94 1296\n", " macro avg 0.86 0.82 0.84 1296\n", "weighted avg 0.94 0.94 0.94 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.78 0.94 0.85 88\n", " 1 0.83 0.56 0.67 18\n", " 2 0.99 0.95 0.97 310\n", " 3 0.88 0.88 0.88 16\n", "\n", " accuracy 0.93 432\n", " macro avg 0.87 0.83 0.84 432\n", "weighted avg 0.94 0.93 0.93 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.94\n", "Accuracy on Test Data is: 0.93\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.94\n", "Precision on Test Data is: 0.94\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.94\n", "Recall on Test Data is: 0.93\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.94\n", "F1 Score on Test Data is: 0.93\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 417, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dt = DecisionTreeClassifier(max_depth = 7,random_state = 48) # Keeping max_depth = 7 to avoid overfitting\n", "dt.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = dt.predict(X_train_enc)\n", "yp_test_enc = dt.predict(X_test_enc)\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(dt,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(dt, \"Decision Tree Classifier\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(dt, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Decision Tree Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))\n" ] }, { "cell_type": "markdown", "id": "1ffa4150-b572-451e-9311-2fa04b8a6c53", "metadata": {}, "source": [ "## K Nearest Neighbors Classifier" ] }, { "cell_type": "code", "execution_count": 418, "id": "48a62afd-2d98-4f70-965b-9b0f09879e7d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.08s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.94 0.97 0.96 296\n", " 1 0.96 0.84 0.90 51\n", " 2 0.99 0.99 0.99 900\n", " 3 1.00 0.90 0.95 49\n", "\n", " accuracy 0.98 1296\n", " macro avg 0.97 0.93 0.95 1296\n", "weighted avg 0.98 0.98 0.98 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.86 0.94 0.90 88\n", " 1 0.92 0.67 0.77 18\n", " 2 0.98 0.98 0.98 310\n", " 3 1.00 0.81 0.90 16\n", "\n", " accuracy 0.95 432\n", " macro avg 0.94 0.85 0.89 432\n", "weighted avg 0.95 0.95 0.95 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.98\n", "Accuracy on Test Data is: 0.95\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.98\n", "Precision on Test Data is: 0.95\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.98\n", "Recall on Test Data is: 0.95\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.98\n", "F1 Score on Test Data is: 0.95\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 418, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# training a KNN classifier\n", "from sklearn.neighbors import KNeighborsClassifier\n", "\n", "knn = KNeighborsClassifier(n_neighbors = 7)\n", "\n", "st_time = time.time()\n", "\n", "knn.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = knn.predict(X_train_enc)\n", "yp_test_enc = knn.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(knn,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(knn, \"K Nearest Neighbor Classifier\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(knn, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Knn Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))" ] }, { "cell_type": "markdown", "id": "8653d00a-1f1a-447c-bed6-83e45d6153ba", "metadata": {}, "source": [ "## Naive Bayes Classifier" ] }, { "cell_type": "code", "execution_count": 419, "id": "4bce9f12-a02d-4c6a-8a72-85f58fca5c96", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.00s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.67 0.23 0.35 296\n", " 1 0.55 0.24 0.33 51\n", " 2 0.87 0.87 0.87 900\n", " 3 0.18 1.00 0.30 49\n", "\n", " accuracy 0.70 1296\n", " macro avg 0.57 0.58 0.46 1296\n", "weighted avg 0.78 0.70 0.71 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.58 0.20 0.30 88\n", " 1 0.50 0.17 0.25 18\n", " 2 0.87 0.87 0.87 310\n", " 3 0.19 1.00 0.32 16\n", "\n", " accuracy 0.71 432\n", " macro avg 0.54 0.56 0.44 432\n", "weighted avg 0.77 0.71 0.71 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.7\n", "Accuracy on Test Data is: 0.71\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.78\n", "Precision on Test Data is: 0.77\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.7\n", "Recall on Test Data is: 0.71\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.71\n", "F1 Score on Test Data is: 0.71\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 419, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# training a Naive Bayes classifier\n", "from sklearn.naive_bayes import GaussianNB\n", "gnb = GaussianNB()\n", "\n", "st_time = time.time()\n", "\n", "gnb.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = gnb.predict(X_train_enc)\n", "yp_test_enc = gnb.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(gnb,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(gnb, \"Naive Bayes Classifier\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(gnb, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Naive Bayes Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))" ] }, { "cell_type": "markdown", "id": "19a22ce7-1c0a-4912-b60a-41fc7ceb9c2c", "metadata": {}, "source": [ "## Random Forest Classifier" ] }, { "cell_type": "code", "execution_count": 420, "id": "c3f62f73-db2f-4def-bbf0-870b58288502", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.17s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.92 0.99 0.95 296\n", " 1 0.93 0.84 0.89 51\n", " 2 1.00 0.99 0.99 900\n", " 3 0.93 0.76 0.83 49\n", "\n", " accuracy 0.97 1296\n", " macro avg 0.94 0.89 0.92 1296\n", "weighted avg 0.98 0.97 0.97 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.81 0.93 0.87 88\n", " 1 0.86 0.67 0.75 18\n", " 2 0.99 0.96 0.97 310\n", " 3 0.93 0.88 0.90 16\n", "\n", " accuracy 0.94 432\n", " macro avg 0.90 0.86 0.87 432\n", "weighted avg 0.94 0.94 0.94 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.97\n", "Accuracy on Test Data is: 0.94\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.98\n", "Precision on Test Data is: 0.94\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.97\n", "Recall on Test Data is: 0.94\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.97\n", "F1 Score on Test Data is: 0.94\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 420, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rf = RandomForestClassifier(max_depth = 7,random_state = 48) # Keeping max_depth = 7 same as DT\n", "\n", "st_time = time.time()\n", "\n", "rf.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = rf.predict(X_train_enc)\n", "yp_test_enc = rf.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(rf,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(rf, \"Random Forest Classifier\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(rf, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Random Forest Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))" ] }, { "cell_type": "markdown", "id": "6669fbf4-c4b1-4a1c-8b44-534d65e66c13", "metadata": {}, "source": [ "## Linear SVC Classifier" ] }, { "cell_type": "code", "execution_count": 421, "id": "3b67be20-a9cf-4a09-95b9-8c5d7574dc73", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.01s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 0.78 0.66 0.71 296\n", " 1 0.48 0.94 0.63 51\n", " 2 0.91 0.89 0.90 900\n", " 3 0.61 0.76 0.67 49\n", "\n", " accuracy 0.84 1296\n", " macro avg 0.69 0.81 0.73 1296\n", "weighted avg 0.85 0.84 0.84 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.74 0.64 0.68 88\n", " 1 0.50 1.00 0.67 18\n", " 2 0.90 0.88 0.89 310\n", " 3 0.59 0.62 0.61 16\n", "\n", " accuracy 0.83 432\n", " macro avg 0.68 0.79 0.71 432\n", "weighted avg 0.84 0.83 0.83 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 0.84\n", "Accuracy on Test Data is: 0.83\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 0.85\n", "Precision on Test Data is: 0.84\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 0.84\n", "Recall on Test Data is: 0.83\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 0.84\n", "F1 Score on Test Data is: 0.83\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 421, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "svm = LinearSVC(class_weight='balanced', verbose=False, max_iter=10000, tol=1e-4, C=0.1)\n", "\n", "st_time = time.time()\n", "svm.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = svm.predict(X_train_enc)\n", "yp_test_enc = svm.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(svm,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(svm, \"Linear SVC\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(svm, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Linear SVC Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))\n" ] }, { "cell_type": "markdown", "id": "4067e638-8fbb-408d-8736-31e0e682b05d", "metadata": {}, "source": [ "## Gradient Boosting" ] }, { "cell_type": "code", "execution_count": 422, "id": "4405d0bd-3747-492d-9377-fde756b838f0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.96s\n", "--------------------------------------------------------------------------\n", "Classification Report for Train Data\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 296\n", " 1 1.00 1.00 1.00 51\n", " 2 1.00 1.00 1.00 900\n", " 3 1.00 1.00 1.00 49\n", "\n", " accuracy 1.00 1296\n", " macro avg 1.00 1.00 1.00 1296\n", "weighted avg 1.00 1.00 1.00 1296\n", "\n", "Classification Report for Test Data\n", " precision recall f1-score support\n", "\n", " 0 0.93 0.98 0.96 88\n", " 1 0.93 0.78 0.85 18\n", " 2 0.98 0.98 0.98 310\n", " 3 1.00 0.94 0.97 16\n", "\n", " accuracy 0.97 432\n", " macro avg 0.96 0.92 0.94 432\n", "weighted avg 0.97 0.97 0.97 432\n", "\n", "--------------------------------------------------------------------------\n", "Accuracy on Train Data is: 1.0\n", "Accuracy on Test Data is: 0.97\n", "--------------------------------------------------------------------------\n", "Precision on Train Data is: 1.0\n", "Precision on Test Data is: 0.97\n", "--------------------------------------------------------------------------\n", "Recall on Train Data is: 1.0\n", "Recall on Test Data is: 0.97\n", "--------------------------------------------------------------------------\n", "F1 Score on Train Data is: 1.0\n", "F1 Score on Test Data is: 0.97\n", "--------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/bhaskarroy/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n", " warnings.warn(msg, category=FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 422, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gb_model = GradientBoostingClassifier(n_estimators=50, max_depth=10)\n", "\n", "st_time = time.time()\n", "gb_model.fit(X_train_enc,y_train_enc)\n", "\n", "yp_train_enc = gb_model.predict(X_train_enc)\n", "yp_test_enc = gb_model.predict(X_test_enc)\n", "\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))\n", "\n", "evaluation_parametrics(y_train_enc,yp_train_enc,y_test_enc,yp_test_enc)\n", "plot_confusion_matrix(svm,X_test_enc, y_test_enc)\n", "\n", "dict1 = create_dict(gb_model, \"Gradient Boosting\", y_train_enc, yp_train_enc, y_test_enc, yp_test_enc)\n", "dict.update(dict1)\n", "\n", "plot_learning_curve(gb_model, X = X_train_enc, y = y_train_enc, \n", " title = \"Learning Curves (Gradient Boosting Classifier)\", \n", " train_sizes=np.linspace(0.1, 1.0, 5))" ] }, { "cell_type": "code", "execution_count": 423, "id": "4596ebee-8bb9-4668-b9d5-b274385a3dd9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total time: 0.00s\n" ] } ], "source": [ "st_time = time.time()\n", "en_time = time.time()\n", "print('Total time: {:.2f}s'.format(en_time-st_time))" ] }, { "cell_type": "markdown", "id": "27019534-2a3d-448a-af21-9a7e9bf2d1ff", "metadata": {}, "source": [ "## Listing the performance from all the models" ] }, { "cell_type": "code", "execution_count": 424, "id": "f2e59554-6709-4c43-83e6-9e9250ce33a4", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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TrainTest
Logistic Regression ClassifierF10.830.80
Recall0.830.81
Precision0.830.80
Decision Tree ClassifierF10.940.93
Recall0.940.93
............
Linear SVCRecall0.840.83
Precision0.850.84
Gradient BoostingF11.000.97
Recall1.000.97
Precision1.000.97
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" ], "text/plain": [ " Train Test\n", "Logistic Regression Classifier F1 0.83 0.80\n", " Recall 0.83 0.81\n", " Precision 0.83 0.80\n", "Decision Tree Classifier F1 0.94 0.93\n", " Recall 0.94 0.93\n", "... ... ...\n", "Linear SVC Recall 0.84 0.83\n", " Precision 0.85 0.84\n", "Gradient Boosting F1 1.00 0.97\n", " Recall 1.00 0.97\n", " Precision 1.00 0.97\n", "\n", "[21 rows x 2 columns]" ] }, "execution_count": 424, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Retrieving the perfomance scores from the dict object \n", "pd.DataFrame.from_dict({(i,j): dict[i][j] \n", " for i in dict.keys() \n", " for j in dict[i].keys()},\n", " orient='index')" ] }, { "cell_type": "code", "execution_count": 425, "id": "c2e2b01a-8855-48a4-bf5f-69df9b73cef9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
F1 Recall Precision
Train Test Train Test Train Test
Logistic Regression Classifier0.8300000.8000000.8300000.8100000.8300000.800000
Decision Tree Classifier0.9400000.9300000.9400000.9300000.9400000.940000
K Nearest Neighbor Classifier0.9800000.9500000.9800000.9500000.9800000.950000
Naive Bayes Classifier0.7100000.7100000.7000000.7100000.7800000.770000
Random Forest Classifier0.9700000.9400000.9700000.9400000.9800000.940000
Linear SVC0.8400000.8300000.8400000.8300000.8500000.840000
Gradient Boosting1.0000000.9700001.0000000.9700001.0000000.970000
" ], "text/plain": [ "" ] }, "execution_count": 425, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Retrieving the perfomance scores from the dict object\n", "# Transposing the rows and headers with respect to the previous code line\n", "# Tabulating the scores for the different classifiers\n", "\n", "user_ids = []\n", "frames = []\n", "\n", "for user_id, d in dict.items():\n", " user_ids.append(user_id)\n", " frames.append(pd.DataFrame.from_dict(d, orient='columns'))\n", "\n", "df = pd.concat(frames, keys=user_ids)\n", "df.unstack(level = -1).style.background_gradient(cmap='Blues')" ] }, { "cell_type": "markdown", "id": "f45a24e4", "metadata": {}, "source": [ "# Conclusion" ] }, { "cell_type": "markdown", "id": "91cf6da4-ea1d-4081-ab9e-b1856e4eb440", "metadata": {}, "source": [ "- Decision Tree Classifier, K Nearest Neighbours, Random Forest Classifiers, Gradient Boosting have performed high in F1, Recall and Precision measures for both test and train methods.\n", "- Gradient Boosting has given the best performance. However, note that this is accompanied with lack of interpretability and explainability.\n", "- Logistic Regression, Linear SVC followed by Naive Bayes have low scores on the evaluation metrics." ] }, { "cell_type": "markdown", "id": "d980c767", "metadata": {}, "source": [ "### Resources to follow for imbalanced learning\n", "- http://www.svds.com/learning-imbalanced-classes/ (The Applied Data Science Workshop - Second Edition Get started with the applications of data science and techniques to explore and assess data effectively by Alex Galea)\n", "- Introduction to Machine Learning with Python by Andreas C. Müller and Sarah Guido \n", "- Machine Learning Engineering by Andriy Burkov\n", "- https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics\n", "- https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html\n", "- Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study - ADNAN AMIN1, SAJID ANWAR1, AWAIS ADNAN1, MUHAMMAD NAWAZ1, NEWTON HOWARD2, JUNAID QADIR3, (Senior Member, IEEE), AHMAD HAWALAH4, AND AMIR HUSSAIN5, (Senior Member, IEEE)\n", "- Lemaître, G., Nogueira, F., & Aridas, C. K. (2017). Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning. Journal of Machine Learning Research, 18 (17), 1-5.\n", "- Learning from imbalanced data: open challenges and future directions by Bartosz Krawczyk1\n", "- Evaluating machine learning models - a beginner's guide to key concepts and pitfalls by Zheng, Alice\n", "- Fawcett, Tom. 2006. An introduction to ROC analysis. Pattern Recognition Letters 27 (8): 861–874.\n", "- https://www.codespeedy.com/multiclass-classification-using-scikit-learn/\n", "- The Essentials of Machine Learning in Finance and Accounting, Chapter 11, Handling class imbalance data in business domain - Authored by Md. Shajalal, Mohammad Zoynul Abedin and Mohammed Mohi Uddin\n", "- Learning from imbalanced datasets* by Alberto Fernandez et al\n", "- https://win-vector.com/2015/02/27/does-balancing-classes-improve-classifier-performance/\n", "- https://datascientistdiary.com/index.php/2021/09/02/how-to-handle-imbalanced-data-example-in-r/\n", "\n", "\n", "#### Datasets \n", "- Breast Cancer Wisconsin dataset\n", "- Credit Card Fraud detection Kaggle dataset\n", "\n", "#### Real life scenarios with data imbalance\n", "Learning from imbalanced data: open challenges and future directions by Bartosz Krawczyk\n", "\n", "| Application Area | Problem Description |\n", "|:---|:---|\n", "|Activity Recognition | Detection of rare or less-frequent activities (multi-class problem)|\n", "|Behavior Analysis| Recognition of dangerous behavior (binary problem)|\n", "|Cancer Malignancy grading|Analyzing the cancer severity (binary and multi-class problem)|\n", "|Hyperspectral data analysis |Classification of varying areas in multi-dimensional images (multi-class problem)|\n", "|Industrial Systems monitoring|Fault detection in industrial machinery (binary problem)|\n", "|Sentiment analysis|Emotion and temper recognition in text (binary and multi-class problem)|\n", "|Software defect prediction|Recognition of errors in code blocks (binary problem)|\n", "|Target detection |Classification of specified targets appearing with varied frequency (multi-class problem)|\n", "|Text mining |Detecting relations in literature (binary problem)|\n", "|Video mining|Recognizing objects and actions in video sequences (binary and multi-class problem)|" ] } ], "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": "3.8.3" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": true, "toc_position": { "height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "288px" }, "toc_section_display": true, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 5 }