inst/helpers/ml_metrics.md

In fairanalytics/SaldaeML: SmartML

Machine Learning : Performance Assessment

In order to evaluate the performance and quality of a used ML algorithm, we rely on multiple criteria used on the target and desired output .

Below is a list of relevant criteria and metric that we included into the platform :

• Mean Absolute Error (MAE)

• Root Mean Square Error (RMSE)

• Confusion Matrix

• Area under the Curve (AUC)

fairanalytics/SaldaeML documentation built on Jan. 17, 2022, 12:05 p.m.