MENGUJI FUNGSI K-NN DAN FUNGSI NEURAL-NET PUSTAKA BAHASA R UNTUK KLASSIFIKASI DATA

Abstract

Classification is a supervised learning method where a classified data set is used as aâ€
training data†to build the classification model, and then the model is applied to a “ test data
set†to verify prediction accuracy. Two methods was explored in this paper, k-Nearest Neighbor
(k-NN) and Artificial Neural Network (ANN) to classify three different data sets. The results was
compared and the accuracy of both methods was declared.
Keywords: Data Mining, Data Science, Supervised Machine Learning, Classification