Classification on Binary Iris (test)
86.75th Percentile AccuracyTsetlin Machine
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Tsetlin Machineclauses=300, s-value=3.0, summation target T=10, states per automaton=100, epochs=5002018.04 | 86.7 | — | 100 | 80 | 100 | |
| Logistic Regression2018.04 | 86.7 | — | 100 | 76.7 | 100 | |
| Multilayer Perceptron Networks2018.04 | 86.7 | — | 100 | 80 | 100 | |
| SVM2018.04 | 86.7 | — | 100 | 76.7 | 100 | |
| Naive Bayes2018.04 | 83.3 | — | 96.7 | 70 | 100 |