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The data we are using is the Cleveland Heart Disease Dataset located at the UC Irvine Machine Learning Repository. This data set contains 14 features about 303 patients. Each feature represents the patient's medical condition, blood test results, and physical characteristics. Among these characteristics are various parameters ranging from age, gender, blood pressure, cholesterol level, electrocardiogram results and other factors. Dec.
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Kullandığımız veri, UC Irvine Machine Learning Repository'de bulunan Cleveland Kalp Hastalığı Veri Seti'dir. Bu veri seti, 303 hasta hakkında 14 özellik içermektedir. Her özellik, hastanın tıbbi durumunu, kan testi sonuçlarını ve fiziksel özelliklerini temsil eder. Bu özellikler arasında yaştan, cinsiyetten, kan basıncından, kolestrol düzeyine, elektrokardiyogram sonuçlarına ve diğer faktörlere kadar çeşitli parametreler bulunmaktadır.
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