1. Thoracic Surgery Data: The data is dedicated to classification problem related to the post-operative life expectancy in the lung cancer patients: class 1 - death within one year after surgery, class 2 - survival. 2. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 3. 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. 4. Refractive errors: Effect of life style and genetic on eye refractive errors. 5. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies. 6. Parkinsons: Oxford Parkinson's Disease Detection Dataset 7. ILPD (Indian Liver Patient Dataset): This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos. 8. 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. 9. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age. 10. 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. 11. Fertility: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits 12. 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. 13. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”. 14. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale. 15. 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. 16. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 17. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 18. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 19. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 20. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls. 21. 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. 22. Autistic Spectrum Disorder Screening Data for Children : Children screening data for autism suitable for classification and predictive tasks 23. Autistic Spectrum Disorder Screening Data for Adolescent : Autistic Spectrum Disorder Screening Data for Adolescent. This dataset is related to classification and predictive tasks. 24. 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 25. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria. 26. Abscisic Acid Signaling Network: The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme. | 
