Extended Data Fig. 8 Analyses of the importance of variables using satellite data.
ANN has been used to identify the relative importance of variables those control the mechanical properties of medium carbon steels.
The objective of this study was to evaluate the importance of variables in input data sets for crop modeling.
By employing m1ultivariate modelling and investigating additional experimental variables, the relative importance of variables effecting remediation was determined and response surfaces for heavy metal removal were calculated.
In global SA, a linear regression model is normally applied to sampled-based solutions by stepwise manners, and the relative importance of variables is examined by sensitivity indexes.
Objectives: To quantify fall risk among patients with multiple sclerosis (MS) and to report the importance of variables associated with falls.
Overall, the study demonstrated that the variable selection procedure implemented herein can effectively evaluate the importance of variables and optimize models of drug product processes.
Although the importance of variables differed among spatial extents, the functional responses for each environmental variable were independent of spatial extent.
Regression tree analysis was also carried out with the same variables to avoid spatial autocorrelation and to reveal the relative importance of variables to burn severity.
Online bank customers were invited to rate the importance of variables related to: socialness, ease-of-use, usefulness, enjoyment and intention to use e-banking systems with game features and social cues.
These results demonstrated that the MI-SVR combination can quite satisfactorily measure the importance of variables, increase interpretability, reduce the risk of overfitting, decrease complexity and generate predictive models for high dimension of variables based on selected features for complicated processing systems.
