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    Feature selection using genetic algorithm 

    Kanyanut Homsapaya; Ohm Sornil (National Institute of Development Administration, 2017)

    In this dissertation, a method of feature selection in machine learning, and more particularly supervised learning is presented. Supervised learning is a machine learning task that infers answers from a training data set. In machine learning, training datasets are employed in order to create a model which enables reasonable predictions, while in supervised learning, each training example is a training set consisting of instances and labels, and the learning objective is to be able to predict the label of a new unseen instance with as few ...