Packages pROC and ROCR both calculate/approximate the Area Under (Receiver
Operator) Curve. However the results are different.
I am computing a new variable as a predictor for a label. The new variable is a
(non-linear) function of a set of input values, and I'm checking how different
parameter settings contribute to prediction. All my settings are predictive,
but some are better.
The AUC i got with pROC was much lower then expected, so i tried ROCR. Here are
some comparisons:
AUC from pROC AUC from ROCR
0.49465 0.79311
0.49465 0.79349
0.49701 0.79446
0.49701 0.79764
When i draw the ROC (with pROC) i get the curve i expect. But why is the AUC
according to pROC so different?
Ivana
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