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Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call

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y_test_class = [0,0,0,0,0] prob_class = [0.01,0.02,.45,0.36,0.001] classifierplots(y_test_class,prob_class) """ Error in check_classifier_input_and_init(test.y, pred.prob) : test.y had more than 2 unique values: 1 """

I've encountered an issue (using version 1.4.0) where the ROC curve is missing from the plot produced by *roc_plot()*. See the image below for an example. As far as I...

In the calibration.R, qbeta function was used to calculate true probability in the calibration_plot, such as "qbeta(c(llb=0.025, lb=0.25, y=0.5, ub=0.75, uub=0.965), 0.5+positive, 0.5+bucket_size-positive)". Sorry I can't understand that. Could you...

Thanks for using `data.table`! We noticed you are `Depend`ing on us and recently decided to strongly discourage downstream packages from doing so -- we think `Imports` is always better. This...

Classifier plots roc curve drawing appears to have visual artefacts when scores aren't spread out well (there are a large number of instances with the same score, leading to empty...

The individual pieces that make up a `classifierplot` object render fine when you add them in an Rmd chunk, but when you include a the actual `classifierplots` function, it just...

I was linked to this by @brendanvr. Nice package! I was wondering if you would consider exporting the stuff in metrics.R? There is a real lack of support for scoring...

Hi, I just installed the CRAN version. I train a classifier using various packages and when I finally want to call `classifierplots` I get the error > alpha level NA,...