1. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer 2. Iris: Famous database; from Fisher, 1936 3. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age. 4. 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. 5. Ecoli: This data contains protein localization sites 6. Pima Indians Diabetes: From National Institute of Diabetes and Digestive and Kidney Diseases; Includes cost data (donated by Peter Turney) 7. 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.
8. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 9. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 10. Parkinsons: Oxford Parkinson's Disease Detection Dataset 11. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 12. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 13. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 14. 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. | 
