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I am trying to plot a ROC curve for classifier performance varied with size of input data set (effect of data augmentation on testing accuracy).

With an increase of data size, the classifier is supposed to improve the generalization accuracy.

I have 5 observations, Obs 1: tpr - 0.9250, fpr - 0.0009493 Obs 2: tpr - 0.9464, fpr - 0.0006864 Obs 3: tpr - 0.9531, fpr - 0.0006004 Obs 4: tpr - 0.9625, fpr - 0.0004803 Obs 5: tpr - 0.9587, fpr - 0.000529

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  • $\begingroup$ What is your question exactly and what have you done so far? $\endgroup$ – Calimo Dec 17 '18 at 7:27

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