Classification on Noisy XOR Dataset with Non-informative Features (test)
95.95th Percentile Accuracy (%)Tsetlin Machine
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Tsetlin MachineType=Multi-Class Tsetlin Machine2018.04 | 95.9 | — | 100 | 91.6 | 100 | |
| Multilayer Perceptron Network2018.04 | 90.1 | — | 98.6 | 88.2 | 99.9 | |
| SVM2018.04 | 56.4 | — | 59.2 | 55.4 | 66.5 | |
| Naive Bayes2018.04 | 48.3 | — | 51 | 41.3 | 52.7 | |
| Logistic Regression2018.04 | 47.8 | — | 51.1 | 41.1 | 53.1 |