10.48788/DVUA/VHVDAJDenkov, IvanIvanDenkov0009-0007-7989-2169V.M. Glushkov Institute of Cybernetics of the NAS of UkraineDataverseUA2026Computer and Information Scienceclassification problemnaive Bayes classifierstructural riskoverfittingcomputational efficiencyfeature space dimensionalityparallel computingDenkov, IvanIvanDenkovV.M. Glushkov Institute of Cybernetics of the NAS of Ukraine2026-07-032026-07-202026-01-04/2026-01-04CSV file10.71942/2m49-6745368727439000text/plaintext/comma-separated-values1.0CC BY 4.0The dataset includes data from 9544 patients of the cardiology department, obtained from a depersonalized fragment of the Aesculap patient visit database. Each patient's data is represented as a sparse binary 1436-dimensional vector. 1 more dimension is added to each vector - the class label. The dataset is intended for testing, validation and comparative analysis of algorithms that solve the classification problem. The dataset is suitable for use in educational purposes and scientific research.Python, 3.12.4Visual Studio Code, 1.19.1Дослідження отримало фінансування в рамках проєкту "Розробити моделі та методи машинного навчання у прикладних задачах інформатизації"0125U001129