1. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 2. Amphibians: The dataset is a multilabel classification problem. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images 3. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 4. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”. 5. Refractive errors: Effect of life style and genetic on eye refractive errors. 6. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 7. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records. 8. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies. 9. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis. 10. Z-Alizadeh Sani: It was collected for CAD diagnosis. 11. HCC Survival: Hepatocellular Carcinoma dataset (HCC dataset) was collected at a University Hospital in Portugal. It contains real clinical data of 165 patients diagnosed with HCC. 12. Parkinsons: Oxford Parkinson's Disease Detection Dataset 13. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 14. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls. 15. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale. 16. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age. 17. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 18. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria. 19. Bone marrow transplant: children: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation. 20. Risk Factor prediction of Chronic Kidney Disease: Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys. 21. Early biomarkers of Parkinsons disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease. 22. Heart failure clinical records: This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features. | 
