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Area under the curve results for the 3 machine learning algorithms with different combinations of features.
| SVM | LR | NB | |
|---|---|---|---|
| SVF | 0.86 | 0.82 | 0.78 |
| SVF + lexical features | 0.86 | 0.89 | 0.87 |
| SVF + semantic features | 0.87 | 0.89 | 0.87 |
| SVF + disfluency features | 0.93 | 0.91 | 0.90 |
| SVF + all features | 0.87 | 0.89 | 0.87 |
The boldfaced number indicates the best result. SVF, semantic verbal fluency; SVM, Support Vector Machines; LR, Logistic Regression; NB, Gaussian NaiveBayes.
