Metrics: Evaluation metrics for machine learning

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

AuthorBen Hamner <ben@benhamner.com>
Date of publication2012-06-20 06:57:56
MaintainerBen Hamner <ben@benhamner.com>
LicenseBSD
Version0.1.1
https://github.com/benhamner/Metrics/tree/master/R

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Files in this package

Metrics
Metrics/MD5
Metrics/tests
Metrics/tests/test_all.r
Metrics/run_tests.sh
Metrics/R
Metrics/R/metrics.r
Metrics/NEWS
Metrics/NAMESPACE
Metrics/man
Metrics/man/sle.Rd Metrics/man/se.Rd Metrics/man/ScoreQuadraticWeightedKappa.Rd Metrics/man/rmsle.Rd Metrics/man/rmse.Rd Metrics/man/msle.Rd Metrics/man/mse.Rd Metrics/man/MeanQuadraticWeightedKappa.Rd Metrics/man/mapk.Rd Metrics/man/mae.Rd Metrics/man/logLoss.Rd Metrics/man/ll.Rd Metrics/man/ce.Rd Metrics/man/auc.Rd Metrics/man/apk.Rd Metrics/man/ae.Rd
Metrics/inst
Metrics/inst/tests
Metrics/inst/tests/test-logloss.r
Metrics/inst/tests/test-kappa.r
Metrics/inst/tests/test-elementwise.r
Metrics/inst/tests/test-auc.r
Metrics/inst/tests/test-apk.r
Metrics/DESCRIPTION

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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