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在課本的第八章節中，裡面教到了如何使用哈希技巧和機器學習的方法，果城中用了python的sklearn中的隨機森林和FeatureHasher套件中利用機器學習提取特徵的惡意軟件程序中得分來預測出來的結果如程序中metrics.roc_curve fpr，tpr，閾值= metrics.roc_curve（test_y，分數）以test_y為標準值1為陽性0為一致同時ROC曲線以檢查檢測器的檢測閾值率。 流程為- 1.et_string_features 2.掃描文件 3.train_detector 4. cv_evaluate 5.get_train_data

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