Toward Identifying APT Malware through API System Calls

Table 2

Binary classification evaluation results of classical machine learning algorithms.

Classification algorithm	Accuracy	Precision	Recall	F1
KNN	0.9455	0.9268	0.8333	0.8776
Logistic regression	0.9214	0.8097	0.8026	0.8062
Decision tree	0.9679	0.9324	0.9079	0.92
Gradient boosting	0.9214	0.986	0.9298	0.9571
AdaBoost	0.9282	0.9061	0.7193	0.802
Gaussian NB	0.8045	0.6364	0.2456	0.3544
Linear discriminant analysis	0.9179	0.925	0.6491	0.7629
Quadratic discriminant	0.9161	0.9653	0.6096	0.7473
SVC	0.9473	0.9617	0.7719	0.8564
Multinomial NB	0.3187	0.2102	0.8684	0.3385