Please tell us about "Recall" of decision tree analysis.

[SaoriYamguchi]

Please tell us about "Recall" of decision tree analysis.

Percentage of actually positive values that are expected to be positive.

What kind of operation is this done?

Answer data does not use when performing decision tree analysis.

I don't think the recall rate can be reproduced unless it is the result of scoring (score tool).

For the recall rate here, do you make a model with the training data and check the recall rate only with the training data?

Thank you

[TrevorS]

Hello @SaoriYamguchi 
Thank you for posting on the Community!
There is a great response on the post "Test accuracy of predictive model on new data" that goes over how the performance scores (accuracy, F1, precision, recall) are determined.

I am including a few other posts from the Community that cover similar topics for you to check out!

Decision Tree - Precision and Recall values - Are they correct?
Tool Mastery - Decision Tree
Understanding the Outputs of the Decision Tree Tool
Decision Tree tool - Help Document

I hope these help to provide you the better understanding you are looking for!
TrevorS