ML Evaluation Metrics

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.True positive

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.False positive

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.False Negative

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.True Negative

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.Type I error

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.Type II error

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.Precision(2 decimal places)

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.Recall(2 decimal places)

The instructor designed a binary classifier in the class of 10 students and checked it with

the results of mid-sem exam. The actual result of the students in the exam and the predicted result of the students by the binary classifier is given below.Accuracy(2 decimal places)

The dataset has two class labels A and B. Choose the Imbalanced dataset

• 50 % class A 50% class B

• 60 % class A 40% class B

• 70 % class A 30% class B

• 80 % class A 20% class B