For example, Bio1 was highly significant in the SVM (62.03%) and RF (49.1%) models; however, it was less significant in the MaxEnt (11%) and XGBoost (8.3%) models.
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Machine learning predictions of climate change effects on nearly threatened bird species (Crithagra xantholaema) habitat in Ethiopia for conservation strategies.
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