Figure 2.
This bar chart illustrates the performance metrics for four different machine learning models, Random Forest, Gradient Boosting, Decision Tree, and Logistic Regression. The data categories examined are Financial Ratios, Raw Data of Financial Ratios, and Raw Data. Each model is represented by differently coloured bars, with heights indicating their performance metrics ranging from approximately zero point eighty five to one. The chart provides a visual comparison of how these models performed across the specified data categories, with multiple bars grouped under each category to facilitate direct comparisons. Each data category is labelled at the bottom, and the performance values are indicated at the top of each bar for clarity.AUC results: the random forest outperforms the other classifiers using the unbalance data set consisting of financial ratios