Accuracy

Accuracy Score

\[Accuracy\ Score = \frac{The\ number\ of\ samples\ predicted\ correctly}{Total\ number\ of\ samples}\]

evaluations.classification.accuracy.accuracy_score(y_true: List, y_pred: List) → float

Compute accuracy score

Parameters

• y_true (list) – True labels

• y_pred (list) – Predicted labels

Returns

Accuracy score

Return type

float

Examples

>>> from evaluations.classification import accuracy_score
>>> accuracy_score([1, 1, 0, 0], [1, 1, 1, 0])
0.75