Multiclass Classification on Landsat UCI
80.8AccuracyOnlineMBBM (Opt)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OnlineMBBM (Opt)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=62022.05 | 80.8 | 1,814.3 | |
| OCOR (OCO-based online realizable)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=62022.05 | 79.6 | 440.4 | |
| Algorithm 1 (Agn)relabeling=fractional, number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=62022.05 | 67 | 1,255.6 | |
| Adaboost.OLM (Ada)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=62022.05 | 56.9 | 81.8 |