Table 19 Comparison of the impact of the proposed framework based on HRO-GWO.

From: Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection

Dataset

Classifier

Percent=100

Percent=10

Percent=20

accuracy

time

accuracy

time

accuracy

time

TOX\(\_\)171

NB

92.772

13588

93.656

1507

95.887

2722

KNN

86.630

18768

94.477

2734

93.997

4445

LFPF\(\_\)1

NB

86.910

9773

96.570

1465

95.107

2150

KNN

80.786

10564

96.217

1953

94.150

2981

CLL\(\_\)SUB\(\_\)111

NB

94.744

18371

95.184

1978

95.149

3776

KNN

88.872

23577

96.982

2827

96.877

5298

  1. Percent represents the proportion of selection features.