Sentence examples for fit to predict from inspiring English sources

Exact(9)

Due to using RS, we do not necessarily need to run the neutronics simulation for all the inputs generated from the GA module rather, run the simulations for a predefined set of inputs, build a multivariate regression fit to the input and the output parameters, and then use this fit to predict the output parameters for the inputs generated by GA.

Due to using rpart, we do not necessarily need to run the neutronics simulation for all the inputs generated from the GA module rather, run the simulations for a predefined set of inputs, build a regression fit to the input and the output parameters, and then use this fit to predict the output parameters for the inputs generated by GA.

3D-QSAR analysis has been performed on a series of previously synthesized benzoxazole, benzimidazole, and oxazolo(4,5-b pyridine derivatives, which are screened as eukaryotic topoisomerase II inhibitors, using comparative molecular field analysis (CoMFA) with partial least squares fit to predict the steric and electrostatic molecular field interactions for the activity.

Additional logistic regression models were fit to predict regressive AU vs. TD, and early onset AU vs. TD.

Within the multiple imputation models, linear regression models were fit to predict weight at year 5, using data from respondents with complete data at both time points.

The logistic regression models were statistically fit to predict the development of these complications (CLD and LCC), which were thought to be partly related to relative adrenal insufficiency.

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Similar(51)

(B ) Leaks fit to predicted choices from the normative model using best-fitting parameters from subject data.

(C ) Leaks fit to predicted choices from the leaky-accumulator model using leaks that depended on the session-specific hazard rate but not coherence.

(D ) Leaks fit to predicted choices from the bounded-accumulator model using boundaries that depended on the session-specific hazard rate but not coherence.

The quadratic model involving dosage, contact time and temperature is best fitted to predict the efficiency of coconut copra in removing humic substances from peat swamp runoff.

After all experiments (music samples) are evaluated, a linear regression model is fitted to predict the target variables w.r.t. the factor levels.

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