KOMPARASI NAÏVE BAYES, SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR UNTUK MENGETAHUI AKURASI TERTINGGI PADA PREDIKSI KELANCARAN PEMBAYARAN TV KABEL
One obstacle of the default payment is the lack of analysis in the new customer acceptance process which is only reviewed from the form provided at registration, as for the purpose of this study to find out the highest accuracy results from the comparison of Naïve Bayes, SVM and K-NN Algorithms. It...
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| Format: | Article |
| Language: | English |
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Fakultas Ilmu Komputer UMI
2019-05-01
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| Series: | Ilkom Jurnal Ilmiah |
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| Online Access: | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/408 |