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Table 3 The classification results on all CUIs corresponding to the original records

From: Developing a portable natural language processing based phenotyping system

  P-Micro P-Macro R-Micro R-Macro F-Micro F-Macro
Intuitive
 LR 0.8719 0.5792 0.8719 0.5509 0.8719 0.5618
 SVM 0.8727 0.5776 0.8727 0.5537 0.8727 0.5632
 DT 0.9281 0.6113 0.9281 0.6116 0.9281 0.6115
 RF 0.8524 0.5626 0.8524 0.5349 0.8524 0.5454
Textual
 LR 0.8846 0.4379 0.8846 0.4195 0.8846 0.4268
 SVM 0.8886 0.4384 0.8886 0.4243 0.8886 0.4300
 DT 0.9436 0.5127 0.9436 0.5115 0.9436 0.5121
 RF 0.8621 0.4220 0.8621 0.4044 0.8621 0.4112
  1. For each task, the best results are bolded