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Similarity-based predictive models: Sensitivity analysis and a biological appli...

Sanchez, Jeniffer D.; Rêgo, Leandro C.; Ospina, Raydonal; Leiva, Víctor; Chesneau, Christophe; Castro, Cecília

Predictive models based on empirical similarity are instrumental in biology and data science, where the premise is to measure the likeness of one observation with others in the same dataset. Biological datasets often encompass data that can be categorized. When using empirical similarity-based predictive models, two strategies for handling categorical covariates exist. The first strategy retains categorical cov...

Date: 2023   |   Origin: RepositóriUM - Universidade do Minho
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