Exact(11)
We calculated the relative contribution of each term to the total variance as indicator of the importance of the variable in the variability of pharmaceutical expenditure.
The importance of the variable STATUS in the model indicates that self-thinning is occurring.
∆AIC is the increase in AIC when the variable is removed from the model and is an indicator of the importance of the variable Variable Estimate Standard error ∆AIC Intercept − 4.89 1.18 STATUS − 4.74 0.577 60 AP 0) 0.00170 0.001701 38.
While the figures given in this section should be treated carefully, due to the possible bias resulting from the survey protocol, approximately measuring the volume used in the vehicles appears to be both feasible in general purpose roadside freight surveys, and useful with regard to the importance of the variable.
Mean Decreased Gini (MDG) and Mean Decreased Accuracy (MDA) are indices of the importance of the variable in the classification.
Finally, during the classification process, RF determines the relative importance of each attribute, through various methods, such as calculation of the Gini Index, which assesses the importance of the variable and carries out accurate variable selection.
Similar(49)
We adopted two methods to measure the importance of the variables in the models.
Then, we calculated the importance of the variables according to the best model.
Results show that all three techniques yielded a similar ranking of the importance of the variables for most model outputs.
Then the differences were averaged among all of the trees, and they were used as the measurement indicator of the importance of the variables in the RF algorithm.
Comparison of the importance of the variables for the two models using different algorithms, namely Random Forests (RF), Logistic Regression (LogR) and Generalized Boosted Regression Models (GBM).
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