An introduction to Random Forests for modeling tasks - theory and practice in python with public health case studies

RFs are a powerful, volatile, and easy to use method, making it an excellent benchmark method for different types of analysis, notably in the public health domain. RFs offer outstanding performance with minimal effort from the user (given its low sensitivity to its hyperparameters) and can be used f...

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Veröffentlicht in:	European journal of public health 2021-10, Vol.31 (Supplement_3)
Hauptverfasser:	Assouline, D, Le Pogam, M-A, Pittet, V
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Clustering Data analysis Decision trees Grants Handles Languages Mathematical models Nominal measurement Outliers (statistics) Public health Statistical analysis Statistical models
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