Sentence examples for importance of predictor from inspiring English sources

The Random Forest algorithm was applied to estimate the importance of predictor variables to fire ignition occurrence.

The relative importance of predictor variable can be calculated as the sum of the Akaike weights over all of the models in which the parameter of interest appears.

The M3n and M4 model series focused on examining the importance of predictor factors by changing the combination of variables as well as increasing the number of variables.

Attention was paid in particular to the assessment of the importance of predictor variables, and subsequently the variable selection in the PLS modeling.

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).

Using SST expansion coefficient time-series from SVD analysis was found to capture the evolution of ENSO from west to east and to provide skillful forecasts of streamflow at earlier leads (up to 7 months in advance) compared to that found by pre-defined indices, indicating the importance of predictor selection in achieving optimal forecast skill.

TN model gives stable variable importance rankings after assessing the relative importance of predictors.

We performed dominance analysis to compare the relative importance of predictors.

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

Analysis of the relative importance of predictors indicated that bus stop existence, effective sidewalk width, and type of bike were the potential predictors.

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