# Metrics v0.1.4

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Monthly downloads

## Evaluation Metrics for Machine Learning

An implementation of evaluation metrics in R that are commonly
used in supervised machine learning. It implements metrics for
regression, time series, binary classification, classification,
and information retrieval problems. It has zero dependencies and
a consistent, simple interface for all functions.

## Functions in Metrics

Name | Description | |

mdae | Median Absolute Error | |

ll | Log Loss | |

params_binary | Inherit Documentation for Binary Classification Metrics | |

rae | Relative Absolute Error | |

precision | Precision | |

fbeta_score | F-beta Score | |

mse | Mean Squared Error | |

params_classification | Inherit Documentation for Classification Metrics | |

f1 | F1 Score | |

recall | Recall | |

msle | Mean Squared Log Error | |

rmsle | Root Mean Squared Log Error | |

rrse | Root Relative Squared Error | |

sle | Squared Log Error | |

smape | Symmetric Mean Absolute Percentage Error | |

rmse | Root Mean Squared Error | |

rse | Relative Squared Error | |

se | Squared Error | |

ce | Classification Error | |

ae | Absolute Error | |

ScoreQuadraticWeightedKappa | Quadratic Weighted Kappa | |

accuracy | Accuracy | |

auc | Area under the ROC curve (AUC) | |

MeanQuadraticWeightedKappa | Mean Quadratic Weighted Kappa | |

apk | Average Precision at k | |

ape | Absolute Percent Error | |

mase | Mean Absolute Scaled Error | |

bias | Bias | |

logLoss | Mean Log Loss | |

mae | Mean Absolute Error | |

mape | Mean Absolute Percent Error | |

params_regression | Inherit Documentation for Regression Metrics | |

percent_bias | Percent Bias | |

mapk | Mean Average Precision at k | |

sse | Sum of Squared Errors | |

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## Last month downloads

## Details

URL | https://github.com/mfrasco/Metrics |

BugReports | https://github.com/mfrasco/Metrics/issues |

License | BSD_3_clause + file LICENSE |

RoxygenNote | 6.0.1 |

NeedsCompilation | no |

Packaged | 2018-07-09 03:33:50 UTC; mfrasco |

Repository | CRAN |

Date/Publication | 2018-07-09 04:30:18 UTC |

suggests | testthat |

Contributors | Ben Hamner, Erin LeDell |

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