Hi, I have trained my data using two models(gbm and rf). I get the accuracies shown below.
How does one get the aggreement accuracy% ? Is that the comparison of the two confusion matrices ? Confusion Matrix and Statistics Reference Prediction 1 2 3 4 5 6 7 8 9 10 11 1 33 1 0 0 0 0 0 0 0 0 0 2 13 17 4 0 0 0 0 0 0 0 0 3 0 3 25 3 0 0 0 0 0 0 3 4 0 0 0 29 0 5 0 0 0 0 0 5 0 0 0 0 18 4 10 0 0 0 2 6 0 0 0 7 2 16 3 0 0 0 6 7 0 0 3 1 1 0 26 3 0 0 0 8 0 0 0 0 0 0 2 25 3 4 0 9 0 0 0 0 0 0 2 1 21 10 0 10 0 0 0 0 0 0 1 0 9 24 0 11 0 0 0 0 2 4 0 0 2 0 26 Overall Statistics Accuracy : 0.6952 -------------------------------------------------------------------------------------------------- Confusion Matrix and Statistics Reference Prediction 1 2 3 4 5 6 7 8 9 10 11 1 34 0 0 0 0 0 0 0 0 0 0 2 9 19 6 0 0 0 0 0 0 0 0 3 0 1 33 0 0 0 0 0 0 0 0 4 0 0 0 30 0 4 0 0 0 0 0 5 0 0 0 0 21 4 8 0 0 0 1 6 0 0 0 6 3 22 0 0 0 0 3 7 0 0 3 0 1 0 24 5 1 0 0 8 0 0 0 0 0 0 1 32 1 0 0 9 0 0 0 0 0 0 0 0 25 9 0 10 0 0 0 0 0 0 1 0 8 25 0 11 0 0 0 0 0 0 0 0 2 0 32 Overall Statistics Accuracy : 0.7941 Thanks, Mohan [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.