CM2604 - Machine Learning
You are expected to perform a simple classification problem - that of Predicting whether income exceeds $50K/yr based on census data. The dataset (‘Census Income’) has been taken from the UCI Machine Learning repository (https://archive.ics.uci.edu/dataset/2/adult). This must be achieved using two machine learning models based on Naïve Bayes and Random Forest Classification. The meta information, class distribution, attributes, attribute statistics, etc. of the corpus can be found in the provided link. Optimal strategies should be followed for preparing the dataset for the proposed models. Respective libraries, frameworks, tools, etc. must be used for model implementation purposes. The implemented models should be compared based on the optimal evaluation metrics. Experimental results should be showcased for both model experimental settings.