/packages/utilities/src/metrics/mod.ts | netsaur@0.4.2

import * as netsaur from "https://deno.land/x/netsaur@0.4.2/packages/utilities/src/metrics/mod.ts";

Metrics for Machine Learning outcomes.

Classes

c ClassificationReport	A report with metrics for classification results
c ConfusionMatrix	Confusion matrix for the result.

The fraction of positives that were predicted correctly

f accuracyScore	The fraction of predictions that were correct
f cohensKappa	Compute Cohen's Kappa to find Agreement
f f1Score	Compute F1 Score
f mae	Mean Absolute Error
f mse	Mean Square Error
f precisionScore	The fraction of "positive" predictions that were actually positive
f r2	R2 Score for regression
f rmse	Root Mean Square Error
f sensitivityScore	The fraction of positives that were predicted correctly
f specificityScore	The fraction of negatives that were predicted correctly