Sentence examples for predictor performance from inspiring English sources

We have observed that, in general, data are non-Gaussian distributed; thence nonlinear prediction allows improvements in the predictor performance.

Ignoring the selection problem through use of a single-equation probit can often lead to very poor estimator and predictor performance.

However, the sequential predictor performance generally depends on the predictor set (mathbb {M}) class "complexity" or richness, which quantifies the class type, size, and statistical regression between observations [19,20,23,29].

Ultimately, the sequential predictor performance depends on the predictor set (mathbb {M}) "complexity" or richness, which quantifies the class type, size, and statistical regression between observations [19,20,23,29].

The two main contributions of this work are: (i) to show that there is some correlation between information theoretic measures and return value predictor performance; (ii) to highlight some major issues that need to be resolved before information theory can be adopted practically by the return value prediction community.

Curated outcomes and unpublished RET gene variants with known disease association were used to benchmark predictor performance.

The number of prediction results that fall into these categories are used to calculate measures for predictor performances.

All of these predictors' performance was properly compared in several papers [17, 21].

However, all these adaptive predictors' performance was not able to outperform the simple rhombus predictor, because those had to use the only previous pixels of the target pixel while the rhombus predictor utilized four neighboring pixels [6].

Systematic performance evaluation analysis has been made for eleven stability predictors performances including CUPSAT, Dmutant, FoldX, I-Mutant2.0, two versions of I-Mutant3.0 (sequence and structure versions), MultiMutate, MUpro, SCide, Scpred, and SRide [ 2].

This rounding operation brings a constraint on a predictor's performance.