Fig. 8
From: Cobdock: an accurate and practical machine learning-based consensus blind docking method
The heatmap to represent correlation score between selected features by Boruta. The correlation score is computed for every chosen pair of features. Blue (-1) indicates a strong negative connection between characteristics, whereas Red (+1) signifies a significant positive association. The colour white, denoted by the value of 0, signifies the absence of any association between the characteristics. The feature names are represented in the “PROGRAM_NAME”_“FEATURE_NAME” format