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Classification is a supervised learning method where a classified data set is used as a”training data” to build the classification model, and then the model is applied to a “ test dataset” 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 wascompared and the accuracy of both methods was declared.Keywords: Data Mining, Data Science, Supervised Machine Learning, Classification
How to Cite
SUARGA, Suarga. MENGUJI FUNGSI K-NN DAN FUNGSI NEURAL-NET PUSTAKA BAHASA R UNTUK KLASSIFIKASI DATA. SENSITIf : Seminar Nasional Sistem Informasi dan Teknologi Informasi, [S.l.], p. 203 - 208, dec. 2019. Available at: <https://ejurnal.dipanegara.ac.id/index.php/sensitif/article/view/545>. Date accessed: 31 may 2020.