Accuracy from Confusion Counts

Problem

Classification accuracy is (TP + TN) / (TP + TN + FP + FN).

Given the four counts, return the accuracy.

Hint

Correct predictions over all predictions.

case 1

in: [8,9,1,2]

expected: 0.85

case 2

in: [5,5,0,0]

expected: 1

case 3

in: [0,0,1,1]

expected: 0

Starter codePython

def accuracy_from_confusion_counts(tp, tn, fp, fn):
    # Your code here
    pass

3 test cases · run your code against them in the editor