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Detection accuracy and misclassification rate of collaborative Parkinson's Detection using Naïve Bayes and other supervised classifiers.
| Classifiers | Number of features | Training time (Sec) | Accuracy (%) | Misclassification rate (%) |
|---|---|---|---|---|
| C4.5 decision tree | 7 | 0.03 | 73.81 | 26.19 |
| k-Nearest Neighbor | 7 | 0.01 | 67.46 | 32.54 |
| Logistic Regression | 7 | 0.03 | 77.38 | 22.62 |
| Neural Network | 7 | 0.14 | 75.40 | 24.60 |
| Random Forest | 7 | 0.21 | 76.98 | 23.02 |
| Naïve Bayes | 7 | 0.01 | 78.97 | 21.03 |
