Classification on Binary Digits Dataset (test)
95.7AccuracyTsetlin Machine
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Tsetlin Machineclauses=1000, specificity (s)=3, summation target (T)=10, automata states=1000, epochs=300, variant=Multi-Class Tsetlin Machine2018.04 | 95.7 | 93.9 | 97.2 | 92.5 | 98.1 | |
| Logistic Regression2018.04 | 94 | 91.9 | 95.8 | 90.8 | 96.9 | |
| Multilayer Perceptron Network2018.04 | 93.5 | 91.7 | 95.3 | 90.6 | 96.7 | |
| Naive Bayes2018.04 | 91.3 | 88.9 | 93.6 | 87.2 | 94.4 | |
| SVM2018.04 | 50.5 | 30.3 | 67.4 | 25.8 | 77.8 |