RandomForest classifier newClassifier

Cross Validation
Number of classes = 2
   class 0.0: None Water               
    accuracy = 0.9998 precision = 1.0000 correlation = 0.9996 errorRate = 0.0002
    TruePositives = 2499.0000 FalsePositives = 0.0000 TrueNegatives = 2500.0000 FalseNegatives = 1.0000
   class 1.0: Water                    
    accuracy = 0.9998 precision = 0.9996 correlation = 0.9996 errorRate = 0.0002
    TruePositives = 2500.0000 FalsePositives = 1.0000 TrueNegatives = 2499.0000 FalseNegatives = 0.0000

Using Testing dataset, % correct predictions = 99.9800
Total samples = 10000
RMSE = 0.01414213562373095
Bias = 1.9999999999997797E-4

Distribution:
   class 0.0: None Water                 5000	 (50.0000%)
   class 1.0: Water                      5000	 (50.0000%)

Testing feature importance score:
Each feature is perturbed 3 times and the % correct predictions are averaged
The importance score is the original % correct prediction - average
   rank 1   feature 1  : Sigma0_VH_db             score: tp=0.5038 accuracy=0.5038 precision=0.5057 correlation=0.5906 errorRate=-0.5038 cost=-1.0230 GainRatio = 0.4031