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@threefeather
Created December 9, 2016 01:05
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randomForest(formula = IR ~ ., data = Ist.month.class.mc, importance = TRUE, subset = train.mc)
Type of random forest: classification
Number of trees: 500
No. of variables tried at each split: 2
OOB estimate of error rate: 26.25%
Confusion matrix:
-1 0 1 class.error
-1 21 54 1 0.7236842
0 17 362 25 0.1039604
1 1 49 30 0.6250000
###Prediction on Next meeting
-1 0 1
801 0 0.988 0.012
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