COMPARISONS OF CLASSIFICATION ALGORITHMS IN DATA MINING
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Coronary Heart Disease (CAD) was one of the most lethal diseases in United States. In order to create an accurate prediction model and analyze the remarkable risk factors, a data mining classi cation task that involves ve di erent methods is applied on the Z- Alizadeh Sani Data Set. Overall, the random forest using decision tree achieves the smallest misclassi cation rate and the support vector machine is marked for the stable outcomes and the ability to resolve information redundancy.