Machine Learning Evaluation Metrics

Documentation for package ‘MLmetrics’ version 1.0.0

MLmetrics-package	MLmetrics: Machine Learning Evaluation Metrics
Accuracy	Accuracy
AUC	Area Under the Curve (AUC)
ConfusionMatrix	Confusion Matrix
F1_Score	F1 Score
FBeta_Score	F-Beta Score
Gini	Gini Coefficient
LogLoss	Log loss/Cross-Entropy Loss
MAE	Mean Absolute Error Loss
MedianAE	Median Absolute Error Loss
MLmetrics	MLmetrics: Machine Learning Evaluation Metrics
MSE	Mean Square Error Loss
MultiLogLoss	Multi Class Log Loss
Precision	Precision
R2_score	R-Squared (Coefficient of Determination) Regression Score
RAE	Relative Absolute Error Loss
Recall	Recall
RMSE	Root Mean Square Error Loss
RMSLE	Root Mean Squared Logarithmic Error Loss
RRSE	Root Relative Squared Error Loss
ZeroOneLoss	Normalized Zero-One Loss (Classification Error Loss)