Application of the K-Nearest Neighbors (K-NN) Algorithm for Classification of Heart Failure

Heart failure is a type of disease that has the largest number patients in world. Based on information from data center, there were 229,696 people with heart 2013. Lack public knowledge about what indications person having make main cause not handled properly by patients. In this study, classification was carried out using KNN algorithm because it simple calculation and fast time. This study only uses 12 attributes, while previous compared 6 algorithms 13 attributes 299 data. The highest 94.31% accuracy Random Forest had an rate 86.95% same sample between 20 total Both them have different accuracy. 89.29% 96.66%.