metrics.zeroOneLoss
▸ zeroOneLoss(y_true: `object`, y_pred: `object`, normalize: `object`)
Usage
import { zeroOneLoss } from 'machinelearn/metrics';
const loss_zero_one_result = zeroOneLoss(
[1, 2, 3, 4],
[2, 2, 3, 5]
);
console.log(loss_zero_one_result); // 0.5
Defined in metrics/classification.ts:145
Parameters:
| Param | Type | Default | Description |
|---|---|---|---|
| y_true | any | null | Ground truth (correct) labels. |
| y_pred | any | null | Predicted labels, as returned by a classifier. |
| options.normalize | boolean | true |
Returns:
number