ANALISIS KOMPARASI PEMODELAN ALGORITMA DECISION TREE MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION DAN METODE ADABOOST UNTUK PREDIKSI AWAL PENYAKIT JANTUNG

Cholesterol, fat accumulation, blood clots, and other medical elements can causeblood flow to the heart to be disrupted so that this medical condition becomes anemergency that destroys and destroys the heart muscle in humans resulting incomplications and even death. This research will improve the Classification Accuracy/ Ensemble Methods, Techniques by modifying the Decision Tree classificationalgorithm modeling, which is added by the Particle...