generalized additive modelsgeneralized linear modelsspecies distribution modellingspecies nicheWestern AustraliaAim Species distribution modelling was used to investigate relationships between benthic environme
Inherently interpretable models (also called explainable models) incorporate interpretability directly into the model structure, and thus are self -explanatory. One type of commonly used inherently interpretable models is the generalized linear model (GLM), which includes linear and logistic regression. ...
Generalized linear models were used to test associations between race and memory‐related GMV ROIs (hippocampus, posterior cingulate cortex, parahippocampal gyrus, and entorhinal cortex), quantified using magnetic resonance imaging. Compared to Whites, Blacks consistently showed smaller GMV in four memory ...
Because the proportion data (clonal versus non-clonal) obeys a binomial distribution, logistic regressions (one of the generalized linear models) were used to test the relationships between the proportion of clonal species and each climatic variable. In these regressions, we weighted the proportion ...
Distill knowledge of additive tree models into generalized linear models Explainable Boosting Machines with Sparsity - Maintaining Explainability in High-Dimensional Settings Cost of Explainability in AI: An Example with Credit Scoring Models Interpretable Machine Learning Leverages Proteomics to Improve Cardiova...
whether words are categorized more often as positive or negative. We then use hierarchical generalized linear models with one-way interactions in order to capture differences in the effects of sentiment and basic emotions across veracity. Here we control for between-rumor heterogeneity, specifically the...
We ran generalized linear models with number of Threatened (THR), Least Concern (LC), and Data Deficient chondrichthyans as dependent variables, and indicators of socio-economic development (governance, human security, human development, and corruption indices), scientific research (number of papers...
Statistical analysis. We used generalized linear models within the statistical software R v.3.0.3 x6473 to analyse the effects of clutch size, clutch order, sex, microsatellite heterozygosity, number of functional MHC alleles and the presence/absence data of the 10 most common functional MHC ...
GLM: Linear/Logistic Regression with L1 ∨ L2 Regularization GAM: Generalized Additive Models using B-splines Tree: Decision Tree for Classification and Regression FIGS: Fast Interpretable Greedy-Tree Sums (Tan, et al. 2022) XGB1: Extreme Gradient Boosted Trees of Depth 1, with optimal binning ...
Statistical analysis. We used generalized linear models within the statistical software R v.3.0.3 x6473 to analyse the effects of clutch size, clutch order, sex, microsatellite heterozygosity, number of functional MHC alleles and the presence/absence data of the 10 most common functional MHC ...