Multiclass Classification on Mice UCI
86AccuracyAlgorithm 1 (Agn)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Algorithm 1 (Agn)relabeling=fractional, number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=82022.05 | 86 | 1,025.8 | |
| OCOR (OCO-based online realizable)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=82022.05 | 79.6 | 258.2 | |
| OnlineMBBM (Opt)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=82022.05 | 77.6 | 1,811.6 | |
| Adaboost.OLM (Ada)number of weak learners=100, weak learner=VeryFastDecisionTree (depth 1), k=82022.05 | 71.3 | 90.1 |