Question 4. Consider the two-class data set shown in the figure below. The dataset consists of 4 distinguishing attributes and many more noise attributes. All attributes are binary. A vertical dash represents a '1' for the record on that specific attribute and the absence of a vertical dash represents a 0. Attributes Distinguishing Attributes Noise Attributes A1 Class A . . A2 Records B1 Class B B2 a) Is there a single attribute in the dataset that can be used to distinguish between Class-A and Class-B? b) Comment on the performance of Decision Trees on this dataset. c) Comment on the performance of naive Baves classifier on this dataset. Question 4. Consider the two-class data set shown in the figure below. The dataset consists of 4 distinguishing attributes and many more noise attributes. All attributes are binary. A vertical dash represents a '1' for the record on that specific attribute and the absence of a vertical dash represents a 0. Attributes Distinguishing Attributes Noise Attributes A1 Class A . . A2 Records B1 Class B B2 a) Is there a single attribute in the dataset that can be used to distinguish between Class-A and Class-B? b) Comment on the performance of Decision Trees on this dataset. c) Comment on the performance of naive Baves classifier on this dataset