1. Consider the above Confusion Matrix of a classifier and choose the incorrect statements

a) Accuracy is 84%

b) Misclassification is 16%

c) Type-I Error is 6

d) Type-II Error is 10

2.

In the bellow plot, what is numbers 1 called, when we are using Support Vector Machine classifier?

a) TESTING DATASET

b) MAXIMUM MARGIN

c) MAX MARGIN HYPERPLANE

d) SUPPORT VECTORS

3. From the following confusion matrix, which performance metrics is calculated correctly?

a) Precision = 0.96

b) F1-Score = 0.30

c) Accuracy = 066