Average ROC curves for binary classification using a threshold
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Hi All,
I am new to machine learning. My goal is to generate a threshold from the data itself which can guide for the classification of data into 2 groups (i.e group a =below thresh, group b=above thresh). I am plannig to use ROC analysis to describe performance of such threshhold. However, as I was reading the ROC literature, I found that probabilities generated for a model is used as threshold to classify the data and generate ROC curve and not the threshhold from data itself. But, I would like to use the thresholds generated from the data itself and perform the ROC ananlysis. On top of this, I would like perform a 10fold cross validation on this ROC analysis. Can anyone suggest the procedure or guide me to correct reference?
Regards
Harshan Ravi
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Aditya Patil
2021-2-15
Can you clarify on what you mean by thresholds generated from data? Do you want to get a single threshold value that classifies the data? If so, why do you need ROC analysis(as that is intended for analysing different threshold values)?
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