Average ROC curves for binary classification using a threshold

2 次查看(过去 30 天)
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
  2 个评论
Aditya Patil
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)?

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 ROC - AUC 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by