Sentence examples for predictor weight from inspiring English sources

The contribution of deer densities as predictor variables for TBE occurrence was higher for roe deer (predictor weight = 0.83) than for red deer (predictor weight = 0.45), while the contribution of forest composition was higher for cop.hfor (predictor weight = 0.91) than for cop.mix (predictor weight = 0.35).

Here, the ambiguity with respect to the predictor weights (W_{ text {main})}^) is quite pronounced.

where we have normalized the predictor weights to sum to unity9.

Table 1 summarizes the results for the predictor weights V and donor weights W: columns "ADH," "Orig.," and "Alph".

Furthermore, the table also shows that, as discussed above, these donor weights can be obtained by completely different predictor weights.

We then conducted large-scale Monte Carlo studies, searching for predictor weights that also lead to these donor weights in the training period, i.e., "training-equivalent" predictor weights which also minimize Eq. (2).

Table 3 Results from standard SCM (predictor weights V, donor weights W) obtained in different ways   R Stata Orig.

Less formally, it is often the case that different predictor weights lead to the same "training" weights.

We show that this failure stems from the cross-validation technique relying on non-uniquely defined predictor weights.

Hence, the cross-validation technique is (in most applications) not well-defined, since the predictor weights are not uniquely defined.

The data-driven SCM approach searches for optimal predictor weights in order to grant more importance to economic predictors with better predictive power.