classifiers

Question 1

Type 1 error

Answer 1

False Positive

e.g. Failure to reject a false null-Hypothesis

Question 2

Type 2 error

Answer 2

False Negative

e.g. Rejecting a true null-Hypothesis, despite it being correct

Question 3

Precision formula

Answer 3

Precision = TP / (TP + FP)

Question 4

Accuracy formula

Answer 4

Accuracy = (TP + TN) / n = (TP + TN) / P + N

Question 5

Recall (sensitivity) formula

Answer 5

Accuracy = TP / (TP + FN) = TP / P

Question 6

Specificity formula

Answer 6

Cpecificity = TN / N = TN / (TN + FP)

Question 7

F-measure formula

Answer 7

F-measure = (2 x Precision x Recall) / (Precision + Recall)