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

Author | Ben Hamner <ben@benhamner.com> |

Date of publication | 2012-06-20 06:57:56 |

Maintainer | Ben Hamner <ben@benhamner.com> |

License | BSD |

Version | 0.1.1 |

https://github.com/benhamner/Metrics/tree/master/R |

**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

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

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