Traditional ML models, such as decision trees, support vector machines, and linear regression, typically operate on structured data and are designed for specific tasks like classification, regression, or clustering. The evaluation of these models focuses on their ability to generalize from train...
We considered f2 values of 0.02, 0.15, and 0.35 as indicative of small, medium, and large effects, respectively [55]. Before interpreting the results of the refined models using backward elimination of determinants, we verified the following assumptions of linear regression analysis: 1. Cook’s ...
Trees Classifier 0.8932 0.9470 0.4143 0.9000 knn K Neighbors Classifier 0.8863 0.8659 0.3839 0.8583 ridge Ridge Classifier 0.8863 0.0000 0.5446 0.7632 lda Linear Discriminant Analysis 0.8863 0.8883 0.5696 0.7524 lr Logistic Regression 0.8817 0.8737 0.5661 0.7338 svm SVM - Linear Kernel 0.8746 0.0000 0.5679...
respectively). Differences were considered statistically significant atP < 0.05.The GAM is an extension of the generalized linear model, a free and flexible statistical model, which can be used to detect the impact of nonlinear regression [29]. The GAM can fit influencing...
and precision of the equations, because they tend to be based on a large number of trees and span a wider range of diameters [53], except in those cases where unique plant forms occur (e.g. species of palms and early colonizers) and developing of local regression equations is recommended...
It is time-consuming and costly to sample sufficient trees to acquire information on species and size distribution in a forest (particularly in a highly diverse tropical forest). Grouping all species, even in species-rich tropical forests, produces regression equations with high r2 (generally greater...
There are two main families of intrinsically interpretable algorithms: tree-based algorithms that are based on decision trees such as Classification And Regression Trees (CART) [10], Iterative Dichotomiser 3 (ID3) [11], C4.5 [12], M5P [13], Logistic Model Trees (LMT) [14] and rule-...