{"Package":"ModelMetrics","Title":"Rapid Calculation of Model Metrics","Version":"1.2.2.1","Date":"2018-11-03","Authors@R":"person(\"Tyler\", \"Hunt\", email = \"thunt@snapfinance.com\", role = c(\"aut\", \"cre\"))","Description":"Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc.","Depends":"R (>= 3.2.2)","License":"GPL (>= 2)","Encoding":"UTF-8","LazyData":"true","LinkingTo":"Rcpp","Imports":"Rcpp, data.table","RoxygenNote":"6.0.1","Suggests":"testthat","NeedsCompilation":"yes","Packaged":"2020-01-13 17:23:27 UTC; hornik","Author":"Tyler Hunt [aut, cre]","Maintainer":"Tyler Hunt ","Repository":"CRAN","Date/Publication":"2020-01-13 17:36:03 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ModelMetrics_1.2.2.1.tar.gz","jsonAuthors":[{"name":"Tyler Hunt","email":"thunt@snapfinance.com","maintainer":true}],"readme":"## ModelMetrics: Rapid Calculation of Model Metrics\n[![Build Status](https://travis-ci.org/JackStat/ModelMetrics.svg?branch=master)](https://travis-ci.org/JackStat/ModelMetrics)\n[![Build status](https://ci.appveyor.com/api/projects/status/evm55ctrlwp6fjs3/branch/master?svg=true)](https://ci.appveyor.com/project/JackStat/modelmetrics/branch/master)\n[![Coverage Status](https://coveralls.io/repos/github/JackStat/ModelMetrics/badge.svg?branch=master)](https://coveralls.io/github/JackStat/ModelMetrics?branch=master)\n[![Downloads](https://cranlogs.r-pkg.org/badges/ModelMetrics)](https://CRAN.R-project.org/package=ModelMetrics)\n\nTyler Hunt thunt@snapfinance.com\n\n### Introduction\nModelMetrics is a much faster and reliable package for evaluating models. ModelMetrics is written in using Rcpp making it faster than the other packages used for model metrics.\n\n\n### Installation\n\nYou can install this package from CRAN:\n\n```r\ninstall.packages(\"ModelMetrics\")\n```\n\nOr you can install the development version from Github with [devtools](https://github.com/hadley/devtools):\n\n```r\ndevtools::install_github(\"JackStat/ModelMetrics\")\n```\n\n\n### Benchmark and comparison\n\n```r\nN = 100000\nActual = as.numeric(runif(N) > .5)\nPredicted = as.numeric(runif(N))\n\nactual = Actual\npredicted = Predicted\n\ns1 <- system.time(a1 <- ModelMetrics::auc(Actual, Predicted))\ns2 <- system.time(a2 <- Metrics::auc(Actual, Predicted))\n# Warning message:\n# In n_pos * n_neg : NAs produced by integer overflow\ns3 <- system.time(a3 <- pROC::auc(Actual, Predicted))\ns4 <- system.time(a4 <- MLmetrics::AUC(Predicted, Actual))\n# Warning message:\n# In n_pos * n_neg : NAs produced by integer overflow\ns5 <- system.time({pp <- ROCR::prediction(Predicted, Actual); a5 <- ROCR::performance(pp, 'auc')})\n\n\ndata.frame(\n package = c(\"ModelMetrics\", \"pROC\", \"ROCR\")\n ,Time = c(s1[[3]],s3[[3]],s5[[3]])\n)\n\n# MLmetrics and Metrics could not calculate so they are dropped from time comparison\n# package Time\n# 1 ModelMetrics 0.030\n# 2 pROC 50.359\n# 3 ROCR 0.358\n```\n\n\n","jobInfo":{"package":"ModelMetrics","version":"1.2.2.1","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-03-17T09:29:54+0000"}}

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