Metrics: Evaluation Metrics for Machine Learning
Version 0.1.2

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

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AuthorBen Hamner <ben@benhamner.com>
Date of publication2017-04-21 14:55:21 UTC
MaintainerORPHANED
LicenseBSD
Version0.1.2
URL https://github.com/benhamner/Metrics/tree/master/R
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Metrics")

Man pages

ae: Compute the absolute error#' This function computes the...
apk: Compute the average precision at k
auc: Compute the area under the ROC (AUC)
ce: Compute the classification error
ll: Compute the log loss
logLoss: Compute the mean log loss
mae: Compute the mean absolute error#' This function computes the...
mapk: Compute the mean average precision at k
MeanQuadraticWeightedKappa: Compute the mean quadratic weighted kappa
mse: Compute the mean squared error#' This function computes the...
msle: Compute the mean squared log error
rmse: Compute the root mean squared error#' This function computes...
rmsle: Compute the root mean squared log error
ScoreQuadraticWeightedKappa: Compute the quadratic weighted kappa
se: Compute the squared error
sle: Compute the squared log error

Functions

MeanQuadraticWeightedKappa Man page Source code
ScoreQuadraticWeightedKappa Man page Source code
ae Man page Source code
apk Man page Source code
auc Man page Source code
ce Man page Source code
ll Man page Source code
logLoss Man page Source code
mae Man page Source code
mapk Man page Source code
mse Man page Source code
msle Man page Source code
rmse Man page Source code
rmsle Man page Source code
se Man page Source code
sle Man page Source code

Files

inst
inst/tests
inst/tests/test-auc.r
inst/tests/test-kappa.r
inst/tests/test-apk.r
inst/tests/test-logloss.r
inst/tests/test-elementwise.r
tests
tests/test_all.R
NAMESPACE
NEWS
R
R/metrics.r
MD5
DESCRIPTION
man
man/msle.Rd
man/sle.Rd
man/rmse.Rd
man/apk.Rd
man/ll.Rd
man/mae.Rd
man/ce.Rd
man/auc.Rd
man/se.Rd
man/ScoreQuadraticWeightedKappa.Rd
man/ae.Rd
man/mse.Rd
man/rmsle.Rd
man/mapk.Rd
man/MeanQuadraticWeightedKappa.Rd
man/logLoss.Rd
Metrics documentation built on May 20, 2017, 5:41 a.m.