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Found 145309 Document(s) match with the query 20493045
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
Author : Karina Chandra Dewi, author
Call Number : T54306
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
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
Author : Yuni Rosita Dewi, author
Call Number : T54313
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
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
Author : Dian Maharani, author
Call Number : T53940
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Analisis akurasi model XGBoost untuk klasifikasi multikelas: studi kasus prediksi tingkat klaim risiko pemohon pada asuransi jiwa = Analyzing accuracy of XGBoost model for multiclass classification: a case study of the applicant level claim risk prediction for life insurance
Author : Widya Fajar Mustika, author
Call Number : T54273
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Analisis Akurasi Model TabTransformer dalam Memprediksi Severitas Klaim Asuransi Kompensasi Pekerja = Analyzing the Accuracy of TabTransformer as a Transformer-Based Model in Predicting the Severity of Workers' Compensation Insurance Claims
Author : Samuel Tjahjono, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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
Author : Dilla Fadlillah Salma, author
Call Number : S-Pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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