Research Article
Self-Trained LMT for Semisupervised Learning
Table 5
Average rankings of the algorithms in 10% labeled ratio (Friedman) and Holm/Hochberg (alpha = 0.05).
| Algorithm | Friedman ranking | value | Holm/ Hochberg test |
| Self-LMT | 6.8750 | — | — | Tri-training (C45) | 8.7019 | 1.5141E − 01 | 0.0500 | Cobagging (C45) | 9.2019 | 6.7671E − 02 | 0.0250 | Co-Forest | 9.6346 | 3.0238E − 02 | 0.0167 | Democratic-Co | 9.8558 | 1.9252E − 02 | 0.0125 | Self-training (C45) | 10.2308 | 8.4117E − 03 | 0.0100 | Cotraining (SMO) | 11.2115 | 6.6111E − 04 | 0.0083 | SETRED | 11.3846 | 3.9842E − 04 | 0.0071 | Tri-training (SMO) | 11.5000 | 2.8153E − 04 | 0.0063 | SNNRCE | 11.5000 | 2.8153E − 04 | 0.0056 | Cotraining (C45) | 11.5096 | 2.7340E − 04 | 0.0050 | Cobagging (SMO) | 11.5865 | 2.1587E − 04 | 0.0045 | DE-tri-training (C45) | 11.7788 | 1.1778E − 04 | 0.0042 | Tri-training (NN) | 11.9135 | 7.6088E − 05 | 0.0038 | ADE-Co-Forest | 12.0481 | 4.8633E − 05 | 0.0036 | DE-tri-training (SMO) | 12.1827 | 3.0754E − 05 | 0.0033 | Self-training (SMO) | 12.3173 | 1.9242E − 05 | 0.0031 | Self-training (NN) | 12.6827 | 5.1049E − 06 | 0.0029 | APSSC | 13.5769 | 1.4202E − 07 | 0.0028 | CLCC | 13.7500 | 6.7193E − 08 | 0.0026 | Rel-Rasco (NB) | 14.4231 | 3.0843E − 09 | 0.0025 | Rasco (C45) | 15.1346 | 8.8277E − 11 | 0.0024 |
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