About finding Confusion Matrix for different Cutoff values in Logistic Regression

[#1]

How do I generate confusion metrics for using different cutoff values? For example, I want to find confusion matrix for cutoff = 0.3 or cutoff = 0.7? etc.

[#2 · Accepted solution]

Hi Prakash,

You can generate a new confusion matrix by saving the logistic function, then setting up a column formula, and then using tabulate to make the table. I recorded a quick 2-min video showing the method I would use (it's not terribly complicated, but writing this out in steps started to seem more complicated than it is!).

I hope this helps!

julian

edit Sept 19 2017: It looks like the video disappeared some time ago; my apologies! Here is the video again:

[#3]

Nice video!

[#4]

Would you mind sharing a link to the video referenced in the solution?  Thank you! 

[#5]

I believe this add-in (https://community.jmp.com/t5/JMP-Add-Ins/Alternate-Cut-off-Confusion-Matrix-Add-In/ta-p/22357) does what you are looking for.  Be aware that the overall accuracy of the model is not likely to improve by changing the threshold probability - the main value is that when the costs of misclassification are asymmetric, changing the threshold can reduce the more costly type of errror.

[#6]

Hi, would you please indicate where users can find this video?
I can't see any links to it on this Q&A page.

[#7]

Hi everyone,

I just re-uploaded the video to my original post. My apologies for it disappearing!

-julian

[#8]

Thanks Julian. 

Also, I hope this helps. In JMP Pro, on the model output page, click arrow down in top left corner and select Confusion Matrix. Then open Set Probability Threshold in the appeared new section of the output. This will show a slider you can move to control Recall and Specificity. Unfortunately, it does not seem to calculate Precision and F1 score :( But, I like the dynamic slider for the table :)