Function parsnip::jaccard_similiarity_score [−][src]
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);