Table 3.

Classification Accuracy and F₁ score for AML dataset at varying sampling ratios (FR, feature reduction; SR, sampling ratio; Obs., observed; Rec., recovered using DSNN method).

	Classification accuracy
FR	PCA				Chi-Square method				Mutual information method
	KNN		Linear SVM		KNN		Linear SVM		KNN		Linear SVM
SR	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.
10%	0.55	0.84	0.54	0.83	0.60	0.86	0.86	0.96	0.76	0.91	0.96	0.98
20%	0.50	0.98	0.50	0.98	0.97	0.97	0.98	0.98	0.73	0.99	0.91	0.99
30%	0.45	0.99	0.45	0.99	0.97	0.97	0.98	0.98	0.76	1.0	0.91	0.99
40%	0.53	0.99	0.59	0.99	0.95	0.99	0.99	1.0	0.71	1.0	0.86	1.0
50%	0.54	0.98	0.56	0.99	0.96	0.96	0.99	0.99	0.77	1.0	0.83	0.99
60%	0.63	0.98	0.70	0.99	0.98	1.0	0.99	1.0	0.75	1.0	0.93	1.0
70%	0.63	0.96	0.67	0.99	0.98	0.98	0.99	1.0	0.82	1.0	0.96	0.99
80%	0.75	0.96	0.77	0.99	0.99	0.99	0.96	1.0	0.87	0.98	0.96	1.0
90%	0.80	0.94	0.87	0.99	0.99	0.99	0.96	0.99	0.94	0.99	0.97	0.99
	F1 score
FR	PCA				Chi-Square method				Mutual information method
	KNN		Linear SVM		KNN		Linear SVM		KNN		Linear SVM
SR	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.	Obs.	Rec.
10%	0.53	0.83	0.54	0.83	0.48	0.85	0.86	0.95	0.76	0.91	0.96	0.98
20%	0.49	0.98	0.50	0.98	0.97	0.97	0.98	0.98	0.73	1.0	0.91	0.99
30%	0.45	1.0	0.46	0.99	0.97	0.97	0.98	0.99	0.76	1.0	0.91	0.99
40%	0.52	0.99	0.60	1.0	0.96	0.99	1.0	1.0	0.72	1.0	0.86	1.0
50%	0.53	0.98	0.57	0.99	0.96	0.96	0.99	0.99	0.78	1.0	0.82	0.99
60%	0.64	0.97	0.70	0.99	0.98	1.0	0.99	1.0	0.75	1.0	0.93	1.0
70%	0.64	0.97	0.68	1.0	0.98	0.98	0.99	1.0	0.82	1.0	0.96	0.99
80%	0.73	0.96	0.77	0.99	0.98	0.99	0.96	1.0	0.87	0.98	0.96	1.0
90%	0.77	0.93	0.87	0.98	0.99	0.99	0.96	0.99	0.94	0.99	0.97	0.99