Module accuracy 

Accuracy of a model’s predictions against observations.

The errors are eᵢ = observedᵢ − predictedᵢ (positive when the model predicts too little), from a regression’s fitted values, a forecast, or any other model.

Examples

use u_analytics::accuracy::prediction_errors;

let observed = [10.0, 12.0, 11.0, 13.0];
let predicted = [10.5, 11.5, 11.0, 12.0];
let e = prediction_errors(&observed, &predicted, 0).unwrap();
assert!((e.mean_error - 0.25).abs() < 1e-12);
assert!((e.mean_absolute_error - 0.5).abs() < 1e-12);

Structs

PredictionErrors

Error measures of predictions against observations.

Functions

prediction_errors

Error measures of predicted against observed.