Sentence examples for predictions and effect from inspiring English sources

If the model is mis-specified, both predictions and effect size estimates may be more than slightly in error.

We show that, if the data generating model is logistic, we can recover accurate probability predictions and effect size estimates with nearly the same efficiency as a correct logistic model, both for main effects and interactions.

Good predictions and effect size estimation from a logistic model therefore require the researcher to guess at the true data generating model, and to exactly specify which predictors appear and how they interact with each other.

Further studies are needed to better understand the factors contributing to these differences, such as sensitivities of the assays, use of very short DNA fragments in MPRAs, methods of ascertaining the predictions, and effects of sample sizes.

For a deeper analysis of SVR performance, Fig. 2 provides the opportunity for visually and statistically observing the precision of prediction and effect of overestimation/underestimation.

In this work we look at the role of logistic regression in particular and how the PM can play a similar role both in probability prediction and effect size estimation under prospective sampling schemes.

This paper aims to show the capabilities of the high-fidelity coupling, their effect on the power and temperature predictions, and subsequent effect on the distribution of hydrogen in the cladding, specifically in the inter-pellet gap region.

A logistic model which is mis-specified for the data generating model produces both inaccurate predictions and biased effect estimates, even if the correct predictors are included.