Given a dataset with 3 Boolean variables 1,2 and a label/target Y, where Y=1 a student has passed an exam. Figure below shows 4 samples (points), 3 positive (passed the exam), 1 negative (failed). a) If we train a KNN classifier (for K=1 ) on data above, which sample(s) will be misclassified by this KNN? (Hint: Remember what happens to KNN when K=1) b) Which classifier should be better for the data above and why? Logistic Regression or Linear Regression