Sentence examples for the predictors which from inspiring English sources

Random effect assumed that the countries error term was not correlated with the predictors which allowed for time-invariant variables to play a role as explanatory variables.

In such a situation, the predictors (which are based on respondent's characteristics) would not correspond with the outcome (which is based on the relatives' behavior).

At each iteration, we adopt the weak requirements for the step sizes to derive the predictors, which affords fewer trial and error steps to accomplish the prediction phase.

Thus, PCR could cope better with smaller training data set sizes since it could exploit the correlation structure of the predictors which renders it more robust than MLR [4].

When the models were used in this study, the predictors which describe competition (stand basal area, G, and basal area in larger trees, BAL) were calculated from trees that were within 10 meters from the tree for which predictions were calculated.

However, it was difficult to design a predictor that would simultaneously increase fillet yield and carcass yield because of contradicting effects of relative head size, an important component of the predictors which was positively correlated to carcass yield but not to fillet yield.

And the predictor which minimizes the error rate of subensemble on the pruning set will be selected at each selection step.

The prediction parameter of the predictor, which is referred to as the alpha parameter, is adaptively chosen from a carefully designed lookup table.

This parameter is simply computed as the ratio of the shared part of the variance of the variables X and Y to the total variance of the predictor, which yields the classical OLS linear estimate of the relationship that under the condition of exogeneity might be interpreted in terms of causality.

In the Jackknife cross-validation Method, each sample in the dataset is knocked out in turn and tested by the predictor, which is trained by the other samples in the data set.

Firstly, based on the core dataset, we constructed a nonredundant dataset to train the predictor, which contains 250 positive samples (i.e. known MAPs) and 2500 negative samples (i.e. some randomly selected other proteins involved in the PPIs).