Multiclass Classification on Abalone UCI
24.9Accuracy (%)OnlineMBBM (Opt)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OnlineMBBM (Opt)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=282022.05 | 24.9 | 9,775.3 | |
| Algorithm 1 (Agn)relabeling=fractional, number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=282022.05 | 22.1 | 4,036.7 | |
| OCOR (OCO-based online realizable)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=282022.05 | 22 | 248.2 | |
| Adaboost.OLM (Ada)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=282022.05 | 19.2 | 108 |