Function parsnip::jaccard_similiarity_score

pub fn jaccard_similiarity_score(pred: &[u64], actual: &[u64]) -> f32

The recall of a dataset Returns the hamming loss which is the percentage of items which are misclassified [0, 1]

Supports macro and weighted averages

use parsnip::jaccard_similiarity_score;
 
let actual = vec![0, 2, 1, 3];
let pred = vec![0, 1, 2, 3];
 
assert_eq!(jaccard_similiarity_score(&pred, &actual), 0.5);