Detailed results for RQ2 (Without Parsing)

HDFS dataset

Word2Vec

Models		Metrics
		Precision	Recall	F1-Score
Traditional	SVM	0.915	0.999	0.955
	Decision Tree	0.988	0.991	0.989
	Logistic Regression	0.999	0.879	0.935
	Random Forest	0.990	0.993	0.991
Deep	MLP	0.999	0.907	0.951
	CNN	0.988	0.923	0.954
	LSTM	0.996	0.921	0.957

FastText

Models		Metrics
		Precision	Recall	F1-Score
Traditional	SVM	0.611	0.898	0.727
	Decision Tree	0.650	0.502	0.566
	Logistic Regression	0.974	0.505	0.665
	Random Forest	0.998	0.388	0.559
Deep	MLP	0.620	0.801	0.699
	CNN	0.991	0.917	0.952
	LSTM	0.993	0.920	0.955

BGL

Word2Vec

Models		Metrics
		Precision	Recall	F1-Score
Traditional	SVM	0.898	0.654	0.757
	Decision Tree	0.776	0.686	0.757
	Logistic Regression	0.859	0.679	0.759
	Random Forest	0.672	0.804	0.731
Deep	MLP	0.929	0.802	0.861
	CNN	0.777	0.988	0.870
	LSTM	0.787	0.914	0.846

FastText

Models		Metrics
		Precision	Recall	F1-Score
Traditional	SVM	0.810	0.630	0.708
	Decision Tree	0.693	0.642	0.667
	Logistic Regression	0.788	0.642	0.707
	Random Forest	0.642	0.776	0.703
Deep	MLP	0.859	0.679	0.759
	CNN	0.860	0.914	0.886
	LSTM	0.776	0.938	0.849