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
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
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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