Performance Evaluation of Feature Selection Algorithms on Human Activity Classification
Abstract
In this work, four human activities were classified by using multi layer perceptron and k-nearest neighbours algorithm. Due to mass amount of data, two different feature selection methods, which are ReliefF and t-score, were applied to the data. The best
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