/classifier-comparison-1

Primary LanguageJupyter Notebook

Comparing Binary Classification Models

Instructions

  • To view the notebook, please click notebook.ipynb in the above section.

  • To see the Python script, click on script.py.

  • To download the dataset using Browser, click on SUV_Purchase --> Right Click on Raw --> Click on Save Link As.

  • To import this dataset in python, use:

import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/arnabd64/classifier-comparison-1/main/SUV_Purchase.csv')
  • To import this dataset in R, use:
df <- read.csv('https://raw.githubusercontent.com/arnabd64/classifier-comparison-1/main/SUV_Purchase.csv')

About notebook

The aim of this notebook is to provide a simple comparison between several classification models. The models included are:

  1. Logistic Regression

  2. k-Nearest Neighbors

  3. Decision Tree Classifier

  4. Random Forest Classifier

  5. Naive Bayes Classifier

  6. Support Vector Machines

About me