Making a NN more accurate through an ROC curve

Hey, guys im testing the accuracy of my NN(MLP learner nodes) using an ROC curve node however Im getting 100% accuracy on the ROC how can I resolve this issue?

Thus how can i improve the accuracy of the NN?
Testing.knwf (48.0 KB)

Do you have data you can upload as well? It seems likely that your ROC Curve is misconfigured somehow, but I can’t open the configuration dialog to check.

If your data is confidential, screenshots of the config dialogs of the ROC Curve and Scorer would help.

Also, how large is your dataset?


Hi there @pizafile,

please take a look at this topic regarding sharing workflow examples:


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