getPrecisionScores()

Compute the precision score for all classes.

Precision score is the ratio tp / (tp + fp), where tp is the number of true positives and fp the number of false positives. The precision is intuitively the ability of the classifier not to label as positive a sample that is negative. The best value is 1 and the worst value is 0.

Import

import * as datacook from '@pipcook/datacook';
const { getPrecisionScores } = datacook.Metrics;

Syntax

getPrecisionScores(yTrue: Tensor | string[] | number[], yPred: Tensor | string[] | number[]): number

Parameters

Returns

Tensor : precision scores