The aim is to predict the income of household using various demographic attributes.
The following are implemented :-
- LINEAR DISCRIMINANT ANALYSIS
- K NEAREST NEIGHBOUR (KNN)
- BOOTSTRAP (LINEAR MODEL)
- NEURAL NETWORK
- SUPPORT VECTOR MACHINES (SVM)
- SPLINES
- TREES
- Decision Tree
- Pruned Decision Tree
- Regression Tree
- Bagging and Random Forest
- BOOSTING