数据集

算法

平均错误率

平均特征数

Wine

Relief

0.0245

3.0

ReliefF

0.0246

3.0

RF-MI

0.0234

2.8

TLBO

0.0258

5.0

ITLBOA

0.0221

2.7

Libras

Relief

0.2647

32.7

ReliefF

0.2634

32.8

RF-MI

0.2571

31.6

TLBO

0.2684

33.4

ITLBOA

0.2425

32.0

Muskl

Relief

0.1257

63.4

ReliefF

0.1278

62.8

RF-MI

0.1198

62.5

TLBO

0.1174

63.0

ITLBOA

0.1081

62.1

LVST

Relief

0.1045

127.5

ReliefF

0.1026

125.6

RF-MI

0.1011

125.4

TLBO

0.0952

125.8

ITLBOA

0.0926

122.0

WBCD

Relief

0.0308

4.9

ReliefF

0.0297

5.1

RF-MI

0.0291

4.8

TLBO

0.0295

5.5

ITLBOA

0.0084

4.5

Spectf

Relief

0.1451

11.0

ReliefF

0.1412

11.2

RF-MI

0.1436

10.6

TLBO

0.1414

13.2

ITLBOA

0.1302

10.4