Text Classification on IMDB binary sentiment (five random splits)
0.3NLLBinwise-Platt
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Binwise-PlattK (clusters)=-, λ (shrinkage)=-2025.10 | 0.3 | 0.093 | 0.013 | 86.8 | |
| Binwise-BetaK (clusters)=-, λ (shrinkage)=-2025.10 | 0.3 | 0.093 | 0.012 | 86.8 | |
| Binwise-TSK (clusters)=-, λ (shrinkage)=-2025.10 | 0.301 | 0.093 | 0.013 | 86.8 | |
| BetaK (clusters)=4, λ (shrinkage)=52025.10 | 0.324 | 0.097 | 0.075 | 86.8 | |
| PlattK (clusters)=4, λ (shrinkage)=52025.10 | 0.327 | 0.099 | 0.073 | 86.8 | |
| TSK (clusters)=4, λ (shrinkage)=52025.10 | 0.327 | 0.098 | 0.072 | 86.8 | |
| PlattK (clusters)=-, λ (shrinkage)=-2025.10 | 0.328 | 0.099 | 0.072 | 86.8 | |
| BetaK (clusters)=-, λ (shrinkage)=-2025.10 | 0.328 | 0.099 | 0.073 | 86.8 | |
| Histogram-BinningK (clusters)=-, λ (shrinkage)=-2025.10 | 0.355 | 0.103 | 0.012 | 86.8 | |
| TSK (clusters)=-, λ (shrinkage)=-2025.10 | 0.363 | 0.102 | 0.087 | 86.8 | |
| BaseK (clusters)=-, λ (shrinkage)=-2025.10 | 0.503 | 0.115 | 0.141 | 86.8 |