Interest_rate_randomtree.r

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