Fig. 2From: Examining characteristics of predictive models with imbalanced big data(Distributions and Feature Selection scores): Average scores are shown on this figure for each dataset, sampling ratio distribution, and learner. In addition, the figure shows the number of selected features used to train the three models for each case study. a–c depict the ECBDL’14 case study and d–f depict the POST case studyBack to article page