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Machine learning with High-Cardinality categorical features in actuarial applications
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MAP20240013547
Machine learning with High-Cardinality categorical features in actuarial applications / Benjamin Avanzi [et al.]
Sumario: High-cardinality categorical features are pervasive in actuarial data (e.g., occupation in commercial property insurance). Standard categorical encoding methods like one-hot encoding are inadequate in these settings
En: Astin bulletin. - Belgium : ASTIN and AFIR Sections of the International Actuarial Association = ISSN 0515-0361. - 15/05/2024 Volumen 54 Número 2 - mayo 2024 , p.213-238
1. Ciencias Actuariales y Financieras ‌. 2. Machine learning ‌. 3. Actuarios ‌. I. Avanzi, Benjamin ‌. II. Título.