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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.

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s22d704
Level I

How to display the cutoff value on the ROC curve.

Is there a way to display the cutoff value on the ROC curve with a dot and a number? Please provide a reference example.図1.png

1 ACCEPTED SOLUTION

Accepted Solutions
Victor_G
Super User

Re: How to display the cutoff value on the ROC curve.

Hi @s22d704,

 

You can use the Crosshair tool '"+" symbol) on any graph to display individual X-Y values :

Victor_G_0-1741338492620.png

 

More infos about the tools in JMP :The Tools Menu - JMP User Community

For binary classification models, you can also have a look at Decision Thresholds Report which may help you to assess the impact of the decision threshold value on specificity, sensitivity, precision, accuracy, F1-score, Matthews Correlation Coefficient, ... :

Victor_G_0-1741345163119.png

 

Hope this answer may help you,

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

View solution in original post

1 REPLY 1
Victor_G
Super User

Re: How to display the cutoff value on the ROC curve.

Hi @s22d704,

 

You can use the Crosshair tool '"+" symbol) on any graph to display individual X-Y values :

Victor_G_0-1741338492620.png

 

More infos about the tools in JMP :The Tools Menu - JMP User Community

For binary classification models, you can also have a look at Decision Thresholds Report which may help you to assess the impact of the decision threshold value on specificity, sensitivity, precision, accuracy, F1-score, Matthews Correlation Coefficient, ... :

Victor_G_0-1741345163119.png

 

Hope this answer may help you,

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

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