Sentence examples for ranking of predictors from inspiring English sources

In variables related to both Lesser kestrel abundance and Egyptian vulture habitat selection, the results were in general the same as those of the simulated data sets, with ranking of predictors frequently changing.

Despite the different patient cohorts and ranking of predictors, all these studies emphasize the relevance of decreased levels of consciousness and cardiovascular and respiratory instability as early predictors of mortality risk.

The overall ranking of predictor variables for malaria infection is presented in Table 2. Surveys and Anopheles density were the two most important factors.

Among all factors potentially associated with the outcome under study, age and gender were considered a priori risk factors; the others were selected using a stepwise bootstrap procedure to assign an importance rank of predictors in the logistic regression analysis.

Accordingly, knowing the correct ranking of importance of predictors is pivotal to effectively contribute to species and ecosystems conservation.

For our purposes, this approach provides a pseudo R, a rank importance of predictor variables, and a visual assessment (partial dependency plots) of the marginal effect of a predictor on the response variable.

The variable importance for projections (VIP) and coefficient values can be employed to rank the importance of predictors.

Dominance analysis provides a means to evaluate and rank the importance of predictors.

MLR is confined to using the full rank of the predictor matrix.

For these models the nominal ranking of importance of the predictors changed with variable order, i.e. predictors declared important by its contribution in explaining the response variable frequently changed to be either most or less important with other variable orders.

Multimodel Inference also provided a way of ranking the importance of predictor sets to explain the distribution of the test species and to generate a robust spatial prediction of regional potential distribution (Vicente et al. 2010).