Network Traffic Classification Based on SD Sampling and Hierarchical Ensemble Learning

Table 7

Model parameters of comparative experiments.

Model	Parameters
KNN	n_neighbors’: 5
DT	min_samples_leaf’: 3
	max_features’ = none
	criterion’ = “entropy”
SVC	C’: 1.0
	“kernel”: “rbf”
	“degree”: 3
	gamma’: “scale”
DNN	Epoch’: 1000
	batch_size’: 10000
	learning_rate’: 0.01