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Table 4 Supervised machine learning algorithm performance

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]
  1. AUC Area under the receiver operating characteristic curve, CI Confidence interval