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    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