Figure 4From: A new computational strategy for predicting essential genesComparison of FWM and NBM in stepwise discriminant. Examples of SCE–ECO (A), ECO–SSA (B), SSA–SPO (C), and SPO–SCE (D) are plotted. The labels on the X-axis from the left to right indicate the order of the features selected into the model according to their prediction effects. The values above the X-axis represent the singular prediction effect of the corresponding feature. FWM indicates feature-based weighted Naïve Bayes model and NBM indicates Naïve Bayes model.Back to article page