In the case of the human body, the central aspect of metabolism is the demand for oxygenated blood to complete the process. Wastes and deoxygenated blood must be pushed out of the many organs in the body due to metabolism for the human body to continue functioning. As the body's pumping organ, the heart pumps oxygenated blood to all body regions and eliminates wastes and deoxygenated blood. As a result, it is critical to have frequent check-ups to ensure optimal cardiac care. There are a variety of causes for this, including genetic background and some acquired habits that can hurt the heart. Several research studies have been published investigating human heart health prediction. In this study, we looked at 304 patient cases and attempted to identify the significant risk factors that could cause heart difficulties. This study aims to present a work that can be used as a first step in determining a probability score for a cardiac condition. The various risk factors can be the primary cause of a heart problem. This study looked at different categorization models to pinpoint cardiac conditions. The fundamental goal of such an activity is to give a straightforward solution that can assist the patient in determining whether there is a statistical chance that a heart problem will occur. This solution is not intended to replace a medical practitioner but to assist any doctor in their diagnosis process. This procedure ensures that the therapy between a doctor and a patient is transparent. The number of False Positives and False Negatives produced by the model is verified, and the optimum algorithm for prediction is chosen based on that.