AIC based regularization multiplier assessment.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/AIC_based_regularization_multiplier_assessment_/28453090
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资源简介:
The results of nine iterative replicated model runs of the best candidate (3var_C) resulting from varying the Regularization Multiplier (RM) in Maxent from 1 to 5 by steps of 0.5 and listed by Akaike Information Criteria (AIC) values. The RM value of 2.0 exhibited both the lowest AIC value and least AIC dispersion between replicates followed by a non-competitive RM of 1.0 (ΔAIC of 6.8).
创建时间:
2025-02-20



