Machine Learning in Practice Lecture 8
Why to reduce the number of the features? Having D features, we want to reduce their number to n, where n
EEG-based Machine Learning Methods for Applications in Psychiatry Jim Reilly Gary Hasey Hubert de Bruin Ahmad Khodayari-R Duncan MacCrimmon ON Semiconductor,
The goals: Select the “optimum” number l of features Select the “best” l features
1 The goals: Select the “optimum” number l of features Select the “best” l features Large l has a three-fold disadvantage: High computational.
