Research Article

Group Feature Screening Based on Information Gain Ratio for Ultrahigh-Dimensional Data

Table 6

Simulation results for Model 4.

ConditionMMSCP
5%25%50%75%95%CP1CP2CP3Cpa

Balanced Y, n = 180,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-812.0013.0016.0023.0030.200.9860.9980.9990.990
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8249.05464.50664.00909.251259.000.4950.5080.5300.000
gHOLP-8373.10697.25943.001207.001707.050.4750.4930.4950.000

Balanced Y, n = 200,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-812.0012.0014.0016.0021.050.9971.0001.0001.000
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8173.45319.50586.00758.001049.300.5100.5180.5530.010
gHOLP-8309.70603.25868.501123.001688.300.4850.5000.5050.000

Balanced Y, n = 200,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-812.0013.0013.0015.0023.050.9991.0001.0001.000
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8108.80289.75446.00601.75865.950.5150.5500.5800.040
gHOLP-8216.85559.75743.00948.001281.450.4980.5050.5130.000

Unbalanced Y, n = 180,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-819.0021.0024.0026.0030.000.9601.0001.0001.000
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8508.90530.50545.00555.25573.050.5000.5000.5000.000
gHOLP-8594.90782.50906.501056.751244.700.4580.4980.5000.000

Unbalanced Y, n = 200,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-812.0012.0012.0013.0014.001.0001.0001.0001.000
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8365.85382.75393.00406.25426.100.5000.5000.6450.000
gHOLP-8495.55610.25733.00900.001126.050.4750.5030.5050.000

Unbalanced Y, n = 200,
GIGR-SIS-84.004.004.004.004.001.0001.0001.0001.000
IG-SIS-812.0012.0013.0014.0015.001.0001.0001.0001.000
GIG-SIS-84.004.004.004.004.001.0001.0001.0001.000
gSIS-8337.75359.00374.00383.00401.100.5000.5050.6750.000
gHOLP-8504.00655.25736.50853.501091.950.4850.5000.5050.000