Machine Learning, Decision Tree, Information Gain, Entropy.
calculated from these values for the beginning to define root feature. E(S) = -((6/10)*log2(6/10) + (2/10)*log2(2/10) + (1/10)*log2(1/10) + (1/10)*log2(1/10)) E(S) = 1.571 By calculating the gain values of all individual features, the features with the highest gain value is selected as the root