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Table 8 The classification results for major classes 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 0.8709 0.6457 0.8709 0.5733 0.8709 0.5960
 SVM 0.8724 0.6444 0.8724 0.5770 0.8724 0.5981
 DT 0.9311 0.6804 0.9311 0.6374 0.9311 0.6488
 RF 0.8466 0.6226 0.8466 0.5559 0.8466 0.5765
Textual
 LR 0.8882 0.7846 0.8882 0.7085 0.8882 0.7397
 SVM 0.8930 0.7858 0.8930 0.7135 0.8930 0.7434
 DT 0.9545 0.8167 0.9545 0.7636 0.9545 0.7854
 RF 0.8882 0.7846 0.8882 0.7085 0.8882 0.7397
  1. For each task, the best results are bolded. The underlined results can achieve the top 10 results reported in [20]