Machinelearning: Graphs/Plots of Evaluation Metrics

Created on 12 Sep 2019  路  3Comments  路  Source: dotnet/machinelearning

It would be beneficial to have some kind of plotting mechanism of sorts to display evaluation metrics after training.

  • Confusion matrix
  • ROC graph
  • Precision-recall graph

It would also be neat to have a default ToString() method to output the metrics object to the console.

Most helpful comment

@aslotte - Agree. We're currently working on Jupyter support for .NET and ML.NET.
Here you can see a few 'sneak-peak' screenshots.. :)

image

image

Also plotting with XPlot within the Jupyter notebook.

image

All 3 comments

@aslotte - Agree. We're currently working on Jupyter support for .NET and ML.NET.
Here you can see a few 'sneak-peak' screenshots.. :)

image

image

Also plotting with XPlot within the Jupyter notebook.

image

@CESARDELATORRE - this made my day, thank you for sharing! :)

@aslotte I am hoping your question has been answered. I am closing the issue. Please reopen if you need more investigation from our end.

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