Performances of several machine learning algorithms and of logistic regression to predict Fasciola hepática in cattle
Abstract The objective of this work was to compare the performances of logistic regression and machine learning algorithms to predict infection caused by Fasciola hepatica in cattle. A dataset on 30,151 bovines from Uruguay was used. Logistic regression (LR) and the algorithms k-nearest neighbor (KN...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Embrapa Informação Tecnológica
2024-09-01
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| Series: | Pesquisa Agropecuária Brasileira |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2024000107500&lng=en&tlng=en |