EL之RF(RFC)：利用RF对二分类问题进行建模并评估

EL之RF(RFC)：利用RF对二分类问题进行建模并评估

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输出结果

设计思路

核心代码

auc = []
nTreeList = range(50, 2000, 50)
for iTrees in nTreeList:
    depth = None
    maxFeat  = 8
    rocksVMinesRFModel = ensemble.RandomForestClassifier(n_estimators=iTrees, max_depth=depth, max_features=maxFeat,
                                                 oob_score=False, random_state=531)

    rocksVMinesRFModel.fit(xTrain,yTrain)

    prediction = rocksVMinesRFModel.predict_proba(xTest)
    aucCalc = roc_auc_score(yTest, prediction[:,1:2])
    auc.append(aucCalc)