Skip to main content

Table 5 Validation of four learning methods by some evaluation metrics. (a) MBCA, (b) BRCA

From: EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

Method name F1 score False Positive Rate Maximum Precision Average-Precision Recall ROC-AUCa
(a) MBCA       
 EARN 0.7961 0 1 0.8266 0.6701 0.9924
  SDb: 0.0264 SD: 0.0 SD: 0.0 SD: 0.0162 SD: 0.0338 SD: 0.0008
 RF 0.756 0.0008 0.9069 0.7873 0.6603 0.9418
 ANN 0.799 0 1 0.8074 0.6733 0.968
 NLSVM 0.3972 0.0154 0.3092 0.5852 0.5885 0.977
(b) BRCA       
 EARN 0.9313 0 1 0.9585 0.8749 0.9979
  SD: 0.0117 SD: 0.0 SD: 0.0 SD: 0.0079 SD: 0.0193 SD: 0.0005
 RF 0.8864 0.0019 0.9061 0.9171 0.8774 0.9719
 ANN 0.8996 0 1 0.9417 0.8225 0.9873
 NLSVM 0.5441 0.0279 0.446 0.859 0.8422 0.9926
  1. aReceiver Operating Characteristic-Area under Curve
  2. bStandard Deviation