Multiclass Classification on Cars UCI
80.6AccuracyAlgorithm 1 (Agn)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Algorithm 1 (Agn)relabeling=fractional, number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=42022.05 | 80.6 | 42.5 | |
| Adaboost.OLM (Ada)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=42022.05 | 75.8 | 20.4 | |
| OnlineMBBM (Opt)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=42022.05 | 69.9 | 104.1 | |
| OCOR (OCO-based online realizable)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=42022.05 | 69.6 | 12.1 |