Naive Bayes-Guided Bat Algorithm for Feature Selection

Table 5

Average classification accuracy with standard deviation for PART.

Datasets	PART
	BANB	GA	GPSO	PSO
M-of-N	100±0	100±0	98.53±4.62	100±0
Exactly	68.8±0	65.6±0	65.6±0	65.93±0.82
Exactly2	75.8±0	75.8±0	75.8±0	75.8±0
Heart	79.59±0	80.27±0	80.57±0.49	79.79±1.44
Vote	94.33±0	94.33±0	94.42±0.15	94.49±0.36
Credit	71.7±0	72.9±0	72.24±1.14	71.81±1.05
Mushroom	98.52±0	100±0	99.33±0.46	99.39±0.41
LED	100±0	100±0	100±0	100±0
Derm	94.39±1.76	94.73±0.86	95.65±0.99	95.62±0.71
Derm2	93.15±2.80	95.19±2.82	95.27±0.76	95.61±0.76
WQ	68±0.7	67.76±1.78	68.70±1.28	67.07±2.92
Lung	78.12±0	80.93±4.52	81.21±5.84	80.27±4.36