Hyper Parameter Tuning of Random Forest Algorithm for Affective Learning System

This paper has proposed an affective learning system to detect the affective state of learner by using random forest algorithm. The proposed system analyzes various hyper parameters of the algorithm for achieving best performance in terms of accuracy and Cohen's Kappa for affective learning dataset.