Answer the following questions based on different datasets that are provided with each question. Give a brief explanation for your choice. (a) [3 points] Figure 1 shows a dataset of two classes whose points are shown in blue and red color on a 2-dimensional Cartesian coordinate axis (which are the two features). Among KNN, Naive Bayes and Decision Trees, which classifier would have the best performance? and why? Figure 1: Two classes (b) [3 points] For the dataset in Figure 2, among KNN, Nave Bayes and Multi-Layer Perceptron (MLP), which classifier would have the worst performance? and why? Figure 2: Two classes