Heart Disease is one of the foremost common diseases nowadays, and for people that provide health care, it'svery necessary to figure out with them to require care of their patients' health and save their life. during thispaper, different classifiers were analyzed by performance comparison to classify the guts Disease dataset toclassifyitcorrectlyandortoPredictheartconditioncaseswithminimalattributes.Largeamountsofknowledgethatcontainsomesecretinformationwerecollectedbythehealthcareindustries.Thisdatacollection is beneficial for creating effective decisions. during this case, aHeart Disease Prediction System(HDPS) is developed using Logistic Regression, K Nearest Neighbor, Decision Tree, Random Forest Classifier,andSupport VectorMachine algorithmsto predict the gutsdisease risklevel.

HeartDisease,Support VectorMachine,Accuracy,DecisionTree.