CODEWITHSUNDEEP
machine-learningdata-miningdata-analysisrocknime
Nadya Nux
Nadya Nux

Reputation: 519

How to create ROC curve from multiple classification models

How to create ROC curve from several classification models in order to compare them with each other. I'm using KNIME analytics platform.

Upvotes: 0

Views: 2314

Answers (2)

Gábor Bakos
Gábor Bakos

Reputation: 9100

It is quite easy. You just need to compute the probabilities/normalized class distribution values and put them in the same table. In the ROC view nodes you can specify them for the positive class and see the ROC curves:

View of ROC nodes, configuration of the JS ROC node

Upvotes: 1

Someone
Someone

Reputation: 444

In order to compare the classification model on the basis of ROC curve, the best way is to create the three separate ROC curve for each classification model.

After that compare the area under the ROC curve of each model because accuracy is measured by the area under the ROC curve. The one with a higher value of the area under ROC is the best classification model.

Upvotes: 1

Related Questions