Yuni Rosita Dewi, author
Analisis akurasi metode seleksi fitur gram-schmidt orthogonalization pada support vector machine untuk big data-studi kasus masalah prediksi klaim = Analyzing accuracy of feature selection method gram-schmidt orthogonalization for support vector machine on big data-a case study of claim prediction problem
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
 UI - Tesis Membership
Karina Chandra Dewi, author
Analisis akurasi model random forest untuk big data-studi kasus prediksi klaim severity pada asuransi mobil = Analyzing accuracy of random forest model for big data-A case study of claim severity prediction in car insurance
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
 UI - Tesis Membership
Mohammad Luthfi Pratama, author
Studi komparasi metode multiclass support vector machine untuk masalah analisis sentimen pada twitter = Comparative study of multiclass support vector machine method for sentiment analysis problem on twitter
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2014
 UI - Skripsi Membership
Dilla Fadlillah Salma, author
Analisis akurasi metode support vector machine, random forest, dan logistic regression dalam mengklasifikasi data asuransi mobil dengan implementasi metode seleksi fitur one dimensional naive bayes classifier = Accuracy analysis of support vector machine, random forest, and logistic regression method in classifying car insurance data with one dimensional naive bayes classifier features selection implementation
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2018
 UI - Skripsi Membership
Dian Maharani, author
Analisis akurasi Deep Neural Network (DNN) untuk big structured data studi kasus prediksi biaya kerugian pada asuransi kebakaran = Analyzing accuracy of Deep Neural Network (DNN) for big structured data a case study of loss cost prediction in insurance
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
 UI - Tesis Membership
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