Table 6.

Running time of each classifier

	Dataset	FCNN	LightGBM	XGBoost	RF	GBDT
RunningTime (s)	HCCs	4138.88	8.30	5.25	2093.28	165.79
	HepG2	1889.55	5.06	2.88	450.05	57.59

¹FCNN (Fully Connected Neural Network): the number of layers was 2, the number of nodes was the number of features, the activation function was sigmoid, the loss function was mean square error and the optimizer was RMSProp

²LightGBM: the number of trees was 110, the number of max depth was 5, the number of leaves was 22, learning rate was 0.04 and the number of thread was 8. Other parameters were at default values

³XGBoost: the number of trees was 110, the number of max depth was 7 and the number of thread was 8. Other parameters were at default values

⁴RF: the number of trees was 500 and the number of thread was 8. Other parameters were at default values

⁵GBDT: the number of trees was 110, the number of max depth was 9 and the number of thread was 8