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geniusgenie
Obsidian | Level 7

Hi,

I am using Svm, random forest, decision trees and neural network and comparing performance of models.

 

Could anyone please tell me how can I calculate f-score, recall and precision of each of these models?

 

 

Regards

 

1 ACCEPTED SOLUTION

Accepted Solutions
DougWielenga
SAS Employee

By "f-score", are you talking about the traditional F-measure or balanced F-score (F1 score) which is the harmonic mean of precision and recall or are you referring to an F-test statistic of some sort?  SAS Enterprise Miner calculates precision defined as % true predicted events / (true predicted + false predicted) and recall defined as the event classification rate.  It is likely you could compute this statistic relatively easily but I am not aware of anything by that name being generated by SAS Enterprise Miner.  Do you have a formula for the f-score you wish to compute?

 

Cordially,

Doug

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2 REPLIES 2
DougWielenga
SAS Employee

By "f-score", are you talking about the traditional F-measure or balanced F-score (F1 score) which is the harmonic mean of precision and recall or are you referring to an F-test statistic of some sort?  SAS Enterprise Miner calculates precision defined as % true predicted events / (true predicted + false predicted) and recall defined as the event classification rate.  It is likely you could compute this statistic relatively easily but I am not aware of anything by that name being generated by SAS Enterprise Miner.  Do you have a formula for the f-score you wish to compute?

 

Cordially,

Doug

geniusgenie
Obsidian | Level 7
Thanks for your reply, I got it done.

Regards

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