Sentence examples for a subset of explanatory variables from inspiring English sources

They are based on Breiman's previous ensemble classifier bagging predictor (Breiman 1996), and they add more randomness by randomly selecting a subset of explanatory variables at each split node.

Second, we aimed to select a subset of explanatory variables adequate to discriminate high H5N1 persistence assumed by all three indicators (Hc, HcP, and PrS).

It combines many binary decision trees built using several bootstrapped learning samples and choosing randomly at each node a subset of explanatory variables [ 27].

We applied multivariate modelling to predict methylation levels using an approach that selected a subset of explanatory variables, while catering for potential gender differences in each selected cofactor.

Indeed, variable selection can be seen as a special case of the model selection problem where each model under consideration could correspond to a distinct subset of explanatory variables [ 5– 7].

Note that the results from such an exercise are hard to interpret due to the obvious problem with multicollinearity, especially for the subset of explanatory variables that have a direct relationship to the IOS explanation, which as shown above seem to move in the "same" direction (i.e., the direction implied by the IOS hypothesis).

When trying to define the best subset of explanatory variables, one would be tempted to perform an all subsets regression analysis in order to identify the best predictive subset given a certain optimization criterion.

An F test was used to test the significance of the proportion of variance in CAN point (R) that was explained in the model, the regression model which included the subset of explanatory variables that were at least marginally significant (p < 0.15).

However, because of different components of aggregate water demand may be determined by different subsets of explanatory variables, linear model technique in decision making especially in planning where decision makers have to forecast what will happen in the future on the basis of past and current conditions is used in this research.

The small community size (36 interactions) constrained us to use different subsets of explanatory variables in different models.

The best subsets of explanatory variables were selected through exclusion of the variables with the smallest contribution to the model (the largest p-values).