Sentence examples for performance of linear regression from inspiring English sources

It would be useful to perform a study to assess the performance of linear regression models with discrete numerical dependent variables.

Second, the performance of linear regression models depends on various assumptions such as absence of multicollinearity, and normally distributed residuals with zero mean and constant variance.

The prediction performance of linear regression models was validated using %recovery, relative prediction error and root mean square error for cross-validation.

The log odds ratios are defined as the log transformed diagnostic odds ratios, which are needed for the performance of linear regression.

To express model performance of linear regression as in the logistic regression, we classified predicted levels with reference to the median of observed FA levels, and we compared predicted and observed classes.

More recent studies supported the idea that quantitative differences in TF binding signals between different cell types reflect the differences in gene expression but surprisingly using TF binding data from more than one cell type did not improve the performance of linear regression models (Cheng & Gerstein, 2012; Cheng et al, 2012; Handstad et al, 2012).

With the performance of linear regression-based methods shown to be comparable to most of the more complex methods (Matveeva et al., 2007; Shabalina et al., 2006; Vert et al., 2007), linear regression has proven to be a reasonable choice, given its simplicity of concept and implementation and the interpretability of the results it produces.

The performance of multilayer perceptron (MLP) and that of linear regression (LR) were compared, with regard to the quality of prediction and estimation and the robustness to deviations from underlying assumptions of normality, homoscedasticity and independence of errors.

Diastolic stiffness was estimated from the gradient of linear regression of diastolic performance curve for pressure values greater than zero at the point the regression line bisected the balloon volume at diastolic pressure = Zero.

The retrieval performance of the neural network is superior to that of linear regression throughout the atmosphere.

In the second step, we used the technique of linear regression to also describe the relation between teaching performance and being a role model.