MediumStatisticsst-404

F1 from Precision Recall

Problem

The F1 score is the harmonic mean of precision and recall: 2 p r / (p + r). Return 0.0 when both are zero.

Given precision and recall, return F1.

Hint

Both metrics must be good for F1 to be high.

case 1

in: [0.8,0.6]

expected: 0.6857142857142857

case 2

in: [1,1]

expected: 1

case 3

in: [0.5,0]

expected: 0

Starter codePython

def f1_from_precision_recall(precision, recall):
    # Your code here
    pass

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