Project for STAT 841: Trying to prediction overall satisfaction using survey data
Satisfaction of life taken from European survey Perform prediction of satisfaction based on 270 variables
Feature selection and feature engineering performed
Data cleaning and imputting - had to OneHot encode classification variables
Different types of classification methods used: a. Base Models (e.g. Logistic Regression, SVM, decision trees, KNN, Naive Bayes) b. Random Forest c. Adaboost d. Neural Networks e. Stacking Ensemble methods