MaximumLikelihood classifier newClassifier

Distribution:
   class 0.0: BaturaTrain_OthersMSI      5000	 (50.0000%)
   class 1.0: BaturaTrain_SnowIceMSI     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 10 : elevation                score: tp=0.0000 accuracy=0.0000 precision=0.0000 correlation=0.0000 errorRate=0.0000 cost=0.0000 GainRatio = 0.0725
Warning: rank <= featureBandList.length