Reputation: 2936
I have a array of sensitivity and specificity values for positive class for different classifiers. I want to create one ROC curve for each classifier.
For example
Sensitivity specificity ROC
NB 0.613 0.778 0.791
LR 0.865 0.842 0.88
MLP 0.976 0.903 0.959
Those are not real value I created those value for demonstration purpose. I mention here sensitivity and specificity because ROC is the ratio of True positive and False positive rate.
I want a plot like that
I also go through the Weka Tutorial 30: Multiple ROC Curves (Model Evaluation). The knowledge flow diagram he was talking about had two drawback
1. If I have a training and test dataset and I want to see the ROC of test dataset that was not defined there.
2. If I am using 5 fold cross validation on training set how could I represent that, that was also not defined.
I tried to make a knowledge flow environment by myself but I did not get the option on arff loader "the load model".
Upvotes: 1
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