config-forrest

trainAmount = 12800
validAmount = 6400
depth = [8, 8, 8, 8]
percentile = 90
impurity = gini, entropy, gini, entropy, gini, entropy, gini, entropy, gini, entropy, gini, entropy
leaf = house
split = cart, cart, c45, c45, id3, id3, cart, cart, c45, c45, id3, id3
asdf = 5
numTrees = 12
dataPath = dataFiles
features = clsParameters, coordinates
booster = adaptive
retrainFirst = True
normalize = False