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Metrics (version 0.1.2)

Evaluation Metrics for Machine Learning

Description

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

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Install

install.packages('Metrics')

Monthly Downloads

31,586

Version

0.1.2

License

BSD

Issues

12

Pull Requests

24

Stars

1,637

Forks

455

Maintainer

ORPHANED

Last Published

April 21st, 2017

Functions in Metrics (0.1.2)

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