Pengembangan Algoritma C4.5 Berbasis Particle Swarm Optimization untuk Penentuan Kelayakan Asuransi
نویسندگان
چکیده
Tujuan penelitian ini adalah untuk Pengembangan Algoritma C4.5 Berbasis Particle Swarm Optimization Untuk Penentuan Kelayakan Asuransi. metode logistic regresion, decision trees, k-nearest neighbors, naïve bayes dan support vector machines. Model tersebut akan menentukan atau memprediksi status konsumen dimasa mendatang. Observasi yang mirip juga pernah dilakukan, tetapi dengan cara berbeda. Pada penilitian ini, digunakan algoritma klasifikasi berbasis (PSO), hasil ketepatan diinginkan lebih bagus dibandingkan hanya memakai mengatasi permasalahan pada kasus pemilihan produk asuransi. dapat disimpulkan bahwa nilai akurasi didapatkan model PSO 98.93% jika yaitu 97.84%. Dari perbedaan antara kedua senilai 0.4%. Selagi penelaahan menggunakan ROC curve bagi ialah,untuk AUC 0.970 urutan diagnosa Excellent Classification, 0.968 Classification.
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ژورنال
عنوان ژورنال: Jurnal Syntax Admiration
سال: 2021
ISSN: ['2722-7782', '2722-5356']
DOI: https://doi.org/10.46799/jsa.v2i3.204