metrics.accuracyScore
▸ accuracyScore(y_true: `object`, y_pred: `object`, normalize: `object`)
Usage
import { accuracyScore } from 'machinelearn/metrics';
const accResult = accuracyScore(
[0, 1, 2, 3],
[0, 2, 1, 3]
);
// accuracy result: 0.5
Defined in metrics/classification.ts:98
Parameters:
| Param | Type | Default | Description |
|---|---|---|---|
| y_true | string[] or number[] | null | 1d array-like, or label indicator array / sparse matrix |
| y_pred | string[] or number[] | null | 1d array-like, or label indicator array / sparse matrix |
| options.normalize | boolean | true |
Returns:
number