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Jan 10, 2023
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Feb 27, 2023
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Abstract

Asuransi adalah kebijakan yang menghilangkan atau mengurangi biaya kerugian yang terjadi oleh berbagai risiko. Berbagai faktor mempengaruhi biaya asuransi. Pertimbangan-pertimbangan ini berkontribusi pada formulasi kebijakan asuransi. Machine learning (ML) untuk sektor industri asuransi dapat membuat perumusan polis asuransi menjadi lebih efisien. Studi ini menunjukkan bagaimana model regresi yang berbeda dapat meramalkan biaya asuransi. Dan penelitian ini membandingkan hasil model misalnya Neural Network, Gradient Boosting, Random Forest, k-Nearest Neighbors, Decision tree, Multiple Linear Regression, dan Support Vector Machine. Paper ini menawarkan pendekatan terbaik pada model Gradient Boosting dengan nilai RMSE sebesar 4527.749, nilai MAE sebesar 2460.358, nilai MSE sebesar 20500507.210865 dan nilai R2 sebesar 0.858

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References

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