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What is Introduction 1 about?

The document discusses the need for effective risk evaluation systems in the insurance sector, particularly in automobile insurance, where various factors influence risk levels. It highlights the limitations of conventional actuarial models and the advantages of machine learning methods, including data balancing techniques and ensemble learning algorithms, to improve prediction accuracy and model transparency. The study aims to develop a machine learning model that enhances prediction accuracy, transparency

Author

mdshakinislam81592

Language

EN