Scoodood
Scoodood
The current `metrics.classification_report` return - Precision (Positive Predictive Value) - Recall (True Positive Rate) - F1 - Support It is great, but far from complete. The following 2 are very...
> @Scoodood I would like to focus this PR only on the metrics addition without touching on the classification report. It could be done in a subsequent PR. Could you...
> @Scoodood - FYI, I've added the NPV score fuction (`npv_score`). hi @Pawel-Kranzberg, just wondering when these new metrics will be integrated into the official scikit-learn for public consumption?
As problem here. ``` Please choose a course, or type 0 to exit swirl. 1: Getting and Cleaning Data 2: Take me to the swirl course repository! Selection: 1 |...
Great idea, please make the API more consistent with `format_func`
But the keys that I used to retrieve those ratios were listed in the documentation. From your link, just scroll down a bit more and you will see this. 