Skip to main content

Advertisement

Table 2 Model performance between no formal report and 2500 formal report based on five metrics (the highest value for each metric is highlighted in bold type): multi-instance learning methods outperformed baselines

From: Adverse event detection by integrating twitter data and VAERS

Method Formal ACC PR RE FS AUC
  #Report      
SVM(linear) 0 0.7793 0.7309 0.6100 0.6644 0.7916
  2500 0.7296 0.6241 0.6370 0.6294 0.7234
SVM(poly) 0 0.6412 0.7231 0.3611 0.3069 0.5697
  2500 0.5478 0.5311 0.5497 0.4443 0.6416
SVM(rbf) 0 0.6507 0.6948 0.0572 0.1035 0.8069
  2500 0.5897 0.4652 0.9344 0.6210 0.7754
LR 0 0.7665 0.6765 0.6641 0.6700 0.7524
  2500 0.7322 0.6209 0.6576 0.6384 0.7303
NN 0 0.7924 0.7408 0.6273 0.6790 0.8196
  2500 0.7411 0.6414 0.6396 0.6394 0.7366
miFV 0 0.7818 0.7269 0.6352 0.6775 0.8348
  2500 0.7856 0.7331 0.6403 0.6833 0.8361
miVLAD 0 0.7691 0.7261 0.5832 0.6461 0.8390
  2500 0.7863 0.7055 0.6999 0.7018 0.8201
MILR 0 0.8034 0.7858 0.6231 0.6947 0.8676
  2500 0.8054 0.7871 0.6291 0.6984 0.8902