Skip to main content

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