Research Article

Self-Trained LMT for Semisupervised Learning

Table 7

Average rankings of the algorithms in 30% labeled ratio (Friedman) and Holm/Hochberg (alpha = 0.05).

AlgorithmFriedman
ranking
valueHolm/
Hochberg test

Self-LMT5.6923
Democratic-Co8.85581.2989E − 020.0500
Cotraining (SMO)9.42313.3946E − 030.0250
Cobagging (C45)9.69231.6840E − 030.0167
Tri-training (C45)9.72121.5583E − 030.0125
Tri-training (SMO)10.29812.9846E − 040.0100
Co-Forest10.30772.8988E − 040.0083
Cotraining (C45)10.44231.9157E − 040.0071
Self-training (C45)10.50961.5511E − 040.0063
Self-training (SMO)10.68278.9048E − 050.0056
Cobagging (SMO)10.70198.3632E − 050.0050
DE-tri-training (SMO)10.81735.7133E − 050.0045
SETRED12.39421.4202E − 070.0042
Self-training (NN)12.75002.9907E − 080.0038
DE-tri-training (C45)12.91351.4252E − 080.0036
ADE-Co-Forest13.05777.3123E − 090.0033
Rasco (C45)13.09626.1074E − 090.0031
SNNRCE13.52887.5764E − 100.0029
Rel-Rasco (NB)13.91351.0781E − 100.0028
Tri-training (NN)14.03855.6118E − 110.0026
APSSC14.28851.4781E − 110.0025
CLCC15.87501.2868E − 150.0024