1. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria. 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. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge. 4. Autistic Spectrum Disorder Screening Data for Adolescent : Autistic Spectrum Disorder Screening Data for Adolescent. This dataset is related to classification and predictive tasks. 5. Autistic Spectrum Disorder Screening Data for Children : Children screening data for autism suitable for classification and predictive tasks 6. 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. 7. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls. 8. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 9. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 10. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 11. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 12. Breath Metabolomics: Breath analysis is a pivotal method for biological phenotyping. In a pilot study, 100 experiments with four subjects have been performed to study the reproducibility of this technique. 13. 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. 14. Daphnet Freezing of Gait: This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson's disease patients that experience freezing of gait (FoG) during walking tasks.
15. Demospongiae: Marine sponges of the Demospongiae class classification domain. 16. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”. 17. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale. 18. 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. 19. Ecoli: This data contains protein localization sites 20. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC). 21. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC). 22. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis. 23. 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 24. gene expression cancer RNA-Seq: This collection of data is part of the RNA-Seq (HiSeq) PANCAN data set, it is a random extraction of gene expressions of patients having different types of tumor: BRCA, KIRC, COAD, LUAD and PRAD. 25. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer 26. 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. 27. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age. 28. 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. 29. 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. 30. Iris: Famous database; from Fisher, 1936 31. LSVT Voice Rehabilitation: 126 samples from 14 participants, 309 features. Aim: assess whether voice rehabilitation treatment lead to phonations considered 'acceptable' or 'unacceptable' (binary class classification problem). 32. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age. 33. MicroMass: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data. 34. Parkinsons: Oxford Parkinson's Disease Detection Dataset 35. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies. 36. Refractive errors: Effect of life style and genetic on eye refractive errors. 37. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes. 38. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures. 39. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures. 40. Somerville Happiness Survey: A data extract of a non-federal dataset posted here https://catalog.data.gov/dataset/somerville-happiness-survey-responses-2011-2013-2015 41. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 42. 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. 43. Z-Alizadeh Sani: It was collected for CAD diagnosis. | 
