ModelMetrics issues

accuracy not found

Hi, It seems that accuracy cannot be found in this package. Best, Shixiang

tnr_ using same cutoff as confusionMatrix_

1

Hi Tyler, Hope you are doing well. Thanks for this great package. On https://github.com/JackStat/ModelMetrics/blob/master/src/confusionMatrix_.cpp: - `confusionMatrix_` considers predictions as negative if the value is **

labrax

variable results of ModelMetrics::auc on r-devel

4

When running the code on R4.0, the results are different each time: ``` r library(ModelMetrics) #> #> Attaching package: 'ModelMetrics' #> The following object is masked from 'package:base': #> #>...

topepo

Specificity returns NaN

I got this behavior which looks like a bug. It appears both in the package from CRAN and in the latest version from GitHub. Here is a reproducible example: ```...

luca-scr

R2 metric

Hi @JackStat is it possible to add the $R^2$ metrics to the package for numeric responses? $R^2=\frac{explained variance}{total variance}=\frac{\sum\left( \hat{y}-\bar{y}\right)^2}{\sum\left( y-\bar{y}\right)^2}$

spedygiorgio

segfault in R3.4.3 on Mac

8

@JackStat FYI Running caret with metric "ROC" consistently produces a segfault on macOS (sierra) with R3.4.3. The segfault message is shown below. Example code also shown below. I have been...

vnijs

poisson log loss

2

The following function could be a nice add for the package, since it implements the Poisson Log Loss in Rcpp (also thanks to [SO](http://stackoverflow.com/questions/43657305/rcpp-gamma-integral/43657808#43657808) ) and originally written in R...

spedygiorgio