You train three weak classifiers on the following dataset: Feature (X) Target (Y) 1.0 1 20 0 3.0 1 40 0 5.0 1 The predictions of the classifiers on test data X = [1.5, 3.5, 4.5] are as follows: e Classifier 1: (1,1, 0] e Classifier 2: [1,0, 0] e Classifier 3: [1,1, 1] 1. Apply majority voting to determine the final prediction for each test point. 2. If you were to assign weights to the classifiers (w; = 0.5, we = 0.3, w3 = 0.2), compute the weighted majority vote and report the final predictions. S Given the following dataset with two features (X1, X2) and a binary target (Y), calculate the information gain if we split on X 1: X1 X2 Y 1 2 0 2 3 1 3 2 1 2 1 0 e Use entropy to calculate information gain for splitting at X1 = 2