Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams

Journal of Big Data

Table 1 Classification results of Dorothea

Classifiers	FS algorithms	Accuracy	Precision	Recall	F-measure	Processing time in seconds
NB	FS-PSO	80.5	63.9	78.81	70.67	12.48
	FS-APSO	81	64.05	79.18	70.77	1.01
	FS-ASAMO	81.37	64.86	82.9	72.78	0.22
	MR-OFS-ABA	83	66.38	82.9	74.05	0.068
SVM	FS-PSO	84.37	67.33	83.72	74.34	0.054
	FS-APSO	84.75	68.04	84.03	75.34	39.67
	FS-ASAMO	84.87	68.06	85.33	75.71	1.06
	MR-OFS-ABA	85.62	68.29	86.76	76.28	0.18
HT	FS-PSO	88.25	71.5	87.77	78.86	0.05
	FS-APSO	90.25	74.84	90.4	82.15	0.05
	FS-ASAMO	90.6	75.01	90.8	82.3	0.067
	MR-OFS-ABA	91	75.51	93.45	83.12	0.04
FMCCSC-KNN	FS-PSO	93.75	80.51	94.28	87.08	0.17
	FS-APSO	93.87	80.77	94.82	87.26	0.04
	FS-ASAMO	93.87	80.7	94.89	87.2	0.0432
	MR-OFS-ABA	95.87	85.93	94.8	89.91	0.038
EIDMLP	FS-PSO	96.62	87.48	95.4	91.98	1.25
	FS-APSO	96.8	88.89	96.98	92.03	0.18
	FS-ASAMO	97.37	89.61	97.97	93.61	0.068
	MR-OFS-ABA	98.6	94.18	98.66	93.37	0.056