Mental State Classification using EEG-based Brain-Machine Interface

Machine learning models for brain classification for brain activity classification, developed using python & SK-Learn

Linear Discriminative Analysis (LDA) was performed on all four EEG channels-

Strong Features were selected using Univariate ROC-AUC-

Different machine learning models comparison (Decision tree, Random Forest, SVM, Ada Boost Classifier)-