Sentence examples for a group of predictors from inspiring English sources

The output L20OCV was a group of predictors that are based on the gene expression of sets of 1 to 10 genes with error rate range between 0.37 (for single gene) to 0.079 (for 10 genes), see Figure 2A.

Each disease clustered with a group of predictor variables.

The marginal R-squared value for a group of predictor variables is the proportion of variance of the dependent variable explained by the group of predictor variables.

The marginal R-squared is a measure of the quality of prediction obtained from a group of predictor variables acting alone, and the delta R-square is a measure of the improvement in the quality of prediction obtained when a group of predictor variables is added to the other predictor variables in the model.

Worsening detected by imaging and clinical deterioration are associated with an unfavorable outcome, and a group of predictor variables has been related to worsening-type lesions and future events [ 2- 4].

The delta R-squared for a group of predictor variables is the difference between the marginal R-squared value for the full set of dependent variables and the marginal R-squared value for the full set of predictor variables with the specified group removed.

However, in the presence of a group of kinase predictors with strong mutual correlation, the lasso could select only one kinase predictor from the group while missing the others.

We found the best ANN architecture and a group of 10 predictors, in which a deeper analyzes were carried out, including performance evaluation for Fall and Spring of 2011 (rainy and dry season in NEB, mainly in the northern section).

The penalty in HyperLasso regression is such that, among a group of correlated predictors, only one coefficient will be estimated as non-zero.

Some researchers [ 248, 249] have proposed 2-step approaches for Genome-wide association analysis via shortlisting a group of marginal predictors using penalized likelihood maximization for further higher order interaction detection.

In order to detect any thresholds, Restricted Cubic Spline (RCS) with 4 knots (i.e. 1 term decomposed into 3 terms: x, x1 and x2) [ 18] and Cox proportional hazard regression with the stepwise algorithm (p < 0.05 for entry and stay) were used to obtain a group of significant predictors of CHD.