From: Machine learning in medicine: a practical introduction to natural language processing
Model | Classification accuracy | AUC | Sensitivity | Specificity |
---|---|---|---|---|
Regularised regression | 0.664, 95% CI [0.608, 0.716] | 0.671, 95% CI [0.599, 0.734] | 0.720, 95% CI [0.651, 0.785] | 0.549, 95% CI [0.439, 0.651] |
Support vector machine | 0.720, 95% CI [0.664, 0.776] | 0.725, 95% CI [0.658, 0.789] | 0.815, 95% CI [0.755, 0.873] | 0.524, 95% CI [0.420, 0.636] |
Artificial neural network | 0.688, 95% CI [0.628, 0.744] | 0.672, 95% CI [0.599, 0.739] | 0.982, 95% CI [0.959, 1.000] | 0.085, 95% CI [0.026, 0.154] |