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).
| Algorithm | Friedman ranking | value | Holm/ Hochberg test |
| Self-LMT | 5.6923 | — | — | Democratic-Co | 8.8558 | 1.2989E − 02 | 0.0500 | Cotraining (SMO) | 9.4231 | 3.3946E − 03 | 0.0250 | Cobagging (C45) | 9.6923 | 1.6840E − 03 | 0.0167 | Tri-training (C45) | 9.7212 | 1.5583E − 03 | 0.0125 | Tri-training (SMO) | 10.2981 | 2.9846E − 04 | 0.0100 | Co-Forest | 10.3077 | 2.8988E − 04 | 0.0083 | Cotraining (C45) | 10.4423 | 1.9157E − 04 | 0.0071 | Self-training (C45) | 10.5096 | 1.5511E − 04 | 0.0063 | Self-training (SMO) | 10.6827 | 8.9048E − 05 | 0.0056 | Cobagging (SMO) | 10.7019 | 8.3632E − 05 | 0.0050 | DE-tri-training (SMO) | 10.8173 | 5.7133E − 05 | 0.0045 | SETRED | 12.3942 | 1.4202E − 07 | 0.0042 | Self-training (NN) | 12.7500 | 2.9907E − 08 | 0.0038 | DE-tri-training (C45) | 12.9135 | 1.4252E − 08 | 0.0036 | ADE-Co-Forest | 13.0577 | 7.3123E − 09 | 0.0033 | Rasco (C45) | 13.0962 | 6.1074E − 09 | 0.0031 | SNNRCE | 13.5288 | 7.5764E − 10 | 0.0029 | Rel-Rasco (NB) | 13.9135 | 1.0781E − 10 | 0.0028 | Tri-training (NN) | 14.0385 | 5.6118E − 11 | 0.0026 | APSSC | 14.2885 | 1.4781E − 11 | 0.0025 | CLCC | 15.8750 | 1.2868E − 15 | 0.0024 |
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