/Income-Classification

ML models to classify income of a person based on given parameters.

Primary LanguageJupyter Notebook

Income-Classification

This repo contains code for Salary Classification problem.

Models used and accuracies:

Logistic Regression: 83.42%
Decision Tree: 78.85%
Random Forest: 82%
Support Vector Machine: 83.41%

Note:

  1. The dataset consists of 14columns: 6 numerical + 8 categorical columns.

  2. Data preprocessing has been done and also PCA has been applied on numerical columns before applying the classification algorithms