# Metrics v0.1.2

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## Evaluation Metrics for Machine Learning

Metrics is a set of evaluation metrics that is commonly used in supervised machine learning.

## Functions in Metrics

 Name Description ll Compute the log loss mae Compute the mean absolute error#' mapk Compute the mean average precision at k logLoss Compute the mean log loss auc Compute the area under the ROC (AUC) ce Compute the classification error se Compute the squared error sle Compute the squared log error mse Compute the mean squared error#' msle Compute the mean squared log error MeanQuadraticWeightedKappa Compute the mean quadratic weighted kappa ScoreQuadraticWeightedKappa Compute the quadratic weighted kappa ae Compute the absolute error#' apk Compute the average precision at k rmse Compute the root mean squared error#' rmsle Compute the root mean squared log error No Results!