WQD.5 - Random Forest

Completely unsupervised random forest method on Training data with ntree = 150 leads to the following error plot:
Importance of predictors are given in the following dotplot:
Accuracy improves from 50% to 67.7%.
Quality Classification | |||
Test Data | Low | Medium | High |
Low | 378 | 277 | 17 |
Medium | 219 | 726 | 201 |
High | 7 | 83 | 276 |
Accuracy | (378 + 726 + 276) / 2037 = 67.7% |