Skip to main content

Advertisement

Table 1 10-fold cross-validation results of different machine learning methods

From: Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling

Method Accuracy Precision Recall F1_score AUC
RF 0.740 0.761 0.768 0.762 0.829
RC 0.624 0.643 0.713 0.674 a
LR 0.453 0.490 0.000 0.000 0.452
DT 0.701 0.726 0.727 0.726 0.700
SVC 0.583 0.569 0.984 0.720 a
  1. Results in Table 1 were calculated based on descriptor T1
  2. aThis parameters can’t be calculated in here (continuous predict values are needed to calculate AUC value)