Sentence examples for predictor making from inspiring English sources
As DPCM consists of two main components the quantizer and the predictor— making DPCM adaptive means making the quantizer and the predictor adaptive.
The UKPDS model does not include glucose control as a predictor, making it unsuitable for evaluating the impact of improved diabetes care on end-stage renal disease.
In addition, if different items have contradictory levels and directions of association with each predictor, making inferences about the construct may be difficult or impossible.
In our sample, volume reduction in both the arcuate fasciculus and the corpus callosum predicted best performance on the Formulated Sentences subtest, with each predictor making a significant and unique contribution.
So yes, the predictor made by new Hunch employee Ben Gleitzman (a former Googler) is very accurate.
The median human predictor made 21 correct predictions and achieved an AAE of 0.732 log S units, both better than any individual.
Thus, particle size predictor make up to 70% of the precipitation variables, and describe various aspects of the particle size distribution, notably the median size and the percentage of particles above and below specific size thresholds.
Relative strength of predictors was assessed by their semi-partial correlation squared values, which indicate the incremental contributions each predictor makes to the model's R-squared value.
A large training-validation study is needed to construct a robust predictor made up of multiple factors in which cfDNA might play a central role.
The relative contributions of predictor variables in the final regression models were determined by the proportionate contribution that each predictor made to the regression model multiple R using the Pratt index (Pratt 1987).
Johnson and LeBreton defined relative importance as "the proportionate contribution each predictor makes to R, considering both its direct effect (eg, its correlation with the criterion [ y or dependent variable]) and its effect when combined with the other variables in the regression equation".
