Optimal settings and predictive performance of boosted regression tree (BRT) analyses used for modeling spatial patterns in abundance (relative cover) of dominant benthic organisms/functional groups (> 2% of total benthic cover; decreasing order of abundance) in the Fernando de Noronha Archipelago, off NE Brazil. Optimal settings: bf–bag fraction, lr–learning rate, tc–tree complexity.
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https://figshare.com/articles/dataset/Optimal_settings_and_predictive_performance_of_boosted_regression_tree_BRT_analyses_used_for_modeling_spatial_patterns_in_abundance_relative_cover_of_dominant_benthic_organisms_functional_groups_2_of_total_benthic_cover_decreasing_order_of_abundance_in_th/7573529
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资源简介：
Optimal settings and predictive performance of boosted regression tree (BRT) analyses used for modeling spatial patterns in abundance (relative cover) of dominant benthic organisms/functional groups (> 2% of total benthic cover; decreasing order of abundance) in the Fernando de Noronha Archipelago, off NE Brazil. Optimal settings: bf–bag fraction, lr–learning rate, tc–tree complexity.
创建时间：
2019-01-10
