Table 4.

Evaluation results of Survival dataset using different sampling strategies with three metrics across ten classification algorithms.

Method	Metric	Classifier
		J48	3NN	NB	RF5	LOG	1NN	7NN	SMO	RF10	RBFNet	R. Avg.
PSO	AUC	0.660	0.626	0.660	0.668	0.698	0.614	0.618	0.617	0.680	0.700	0.654
	FMeasure	0.495	0.422	0.495	0.469	0.542	0.459	0.421	0.447	0.464	0.492	0.471
	GMean	0.641	0.580	0.635	0.618	0.687	0.612	0.581	0.587	0.614	0.643	0.620
	C. Avg.	0.599	0.543	0.597	0.585	0.642	0.562	0.540	0.550	0.586	0.612	0.582
RU	AUC	0.636	0.565	0.633	0.628	0.668	0.589	0.619	0.586	0.659	0.651	0.623
	FMeasure	0.482	0.406	0.459	0.455	0.486	0.436	0.429	0.399	0.460	0.477	0.449
	GMean	0.626	0.562	0.598	0.599	0.637	0.589	0.587	0.554	0.608	0.619	0.598
	C. Avg.	0.581	0.511	0.563	0.561	0.597	0.538	0.545	0.513	0.576	0.582	0.557
RO	AUC	0.619	0.617	0.641	0.631	0.684	0.588	0.602	0.615	0.639	0.663	0.631
	FMeasure	0.465	0.433	0.427	0.389	0.487	0.354	0.413	0.411	0.368	0.459	0.422
	GMean	0.617	0.579	0.561	0.553	0.632	0.514	0.573	0.547	0.534	0.608	0.574
	C. Avg.	0.567	0.543	0.543	0.524	0.601	0.485	0.529	0.524	0.514	0.577	0.542
Cluster	AUC	0.623	0.564	0.642	0.601	0.664	0.546	0.570	0.595	0.616	0.634	0.606
	FMeasure	0.451	0.376	0.443	0.366	0.460	0.325	0.397	0.380	0.389	0.436	0.402
	GMean	0.602	0.538	0.559	0.539	0.636	0.497	0.546	0.512	0.570	0.601	0.560
	C. Avg.	0.559	0.493	0.548	0.502	0.587	0.456	0.504	0.496	0.525	0.557	0.523