This project is based on the dataset from Kaggle - https://www.kaggle.com/lodetomasi1995/income-classification
To develop a classifier that classify instances into 2 classes, 1) individuals earning more than 50K, 2) individuals earning less than 50K a year.
1a) Train a base model - Decision Tree
1b) Fine-tune the base model using Grid Search
2a) Train an alternative model - Random Forest
2b) Fine-tune the alternative model using Grid Search
3a) Compare if the complex model (Random Forest) perform significantly better than the Decision Tree model
Models will be evaluated based on their F1 score