BMI

1. PPT for each ML algorithm like Random Forest, CatBoost, SVM, KNN
2. Result sheet for the following
 Train and test result for all volunteers using channel frame feature protocol for all channel and selected channels at sampling rate 256 and 4096.
 Train and test result for all volunteers using channel frame feature protocol for all channel and selected channels at sampling rate 256 and 4096 using split method.
 Train all volunteers data and test with new data for sampling rate 256
 Train all volunteers data and test with new data for sampling rate 256 using split method
 Use Wavelet-time -frequency domain features for training and testing.
 Train and test data by enable Eye Open/Eye close mapping .
 Train and Test all volunteers data as well as volunteers with multiple sessions for only two classes (food and water - English) and generate the results tablets