Figure 3.
The image is a bar chart displaying the performance metrics of four machine learning models, Random Forest, Gradient Boosting, Decision Tree, and Logistic Regression. Each model is represented by differently styled bars. The categories along the horizontal axis include Financial ratios, Raw Data of financial ratios, and Raw data, while the vertical axis indicates performance scores ranging from zero point seventy five to one. Each model’s performance is presented as separate bars within each category, showing specific scores, such as Random Forest scoring zero point ninety six in the Financial ratios category. The arrangement allows for a comparison of models across various data types. Individual model scores are shown at the top of each corresponding bar.AUC results: random forest outperforms the other classifiers after the application of SMOTE