Research Article
Self-Trained LMT for Semisupervised Learning
Table 8
Average rankings of the algorithms in 40% labeled ratio (Friedman) and Holm/Hochberg (alpha = 0.05).
| Algorithm | Friedman ranking | value | Holm/ Hochberg test |
| Self-LMT | 5.0865 | — | — | Democratic-Co | 9.1923 | 1.2641E − 03 | 0.0500 | Tri-training (C45) | 9.2115 | 1.1990E − 03 | 0.0250 | Cotraining (SMO) | 9.4135 | 6.7962E − 04 | 0.0167 | Cotraining (C45) | 9.8942 | 1.5989E − 04 | 0.0125 | Self-training (C45) | 9.9519 | 1.3319E − 04 | 0.0100 | Co-Forest | 10.0577 | 9.4794E − 05 | 0.0083 | Cobagging (SMO) | 10.7212 | 9.6656E − 06 | 0.0071 | Self-training (SMO) | 10.7308 | 9.3332E − 06 | 0.0063 | Tri-training (SMO) | 10.8942 | 5.1049E − 06 | 0.0056 | Cobagging (C45) | 11.0096 | 3.3028E − 06 | 0.0050 | DE-tri-training (SMO) | 11.6923 | 2.1358E − 07 | 0.0045 | DE-tri-training (C45) | 12.1827 | 2.5157E − 08 | 0.0042 | ADE-Co-Forest | 12.2596 | 1.7753E − 08 | 0.0038 | Rasco (C45) | 12.2692 | 1.6992E − 08 | 0.0036 | SETRED | 12.3269 | 1.3048E − 08 | 0.0033 | Self-training (NN) | 13.0769 | 3.5107E − 10 | 0.0031 | SNNRCE | 13.5385 | 3.2060E − 11 | 0.0029 | Tri-training (NN) | 14.1827 | 9.1543E − 13 | 0.0028 | APSSC | 14.2404 | 6.5767E − 13 | 0.0026 | Rel-Rasco (NB) | 14.4808 | 1.6224E − 13 | 0.0025 | CLCC | 16.5865 | 1.7128E − 19 | 0.0024 |
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