Sentence examples for most predictive and from inspiring English sources

Exact(13)

"What is the most predictive and powerful in your score are the things you've done most recently," Mr. Ulzheimer said.

"My focus is to create a compelling differentiator between us and the other credit reporting companies by enabling our customers to provide the most efficient, the most predictive, and the most accurate experience for their customers," he says.

Our data show that the structural cardiotoxicity of compounds could be associated with four categories: (1) both ATP assay and imaging parameters were predictive, (2) an imaging parameter was most predictive, (3) ATP depletion was most predictive, and (4) cardiotoxicity was not detected by either ATP assay or an imaging parameter at/or below 10-times Cmax concentrations (Fig. 6C).

As a result, the most predictive and popular models can be stored, managed and reused for future work.

As Miller (1996) argues, the organizational imperative or theme in our case leadership, collegiality, managerial hierarchy, or entrepreneurial growth—has "the most predictive and normative implications, and endows configurations with their stability" (p. 507).

Of the socio-economic factors, education appeared most predictive and lowered the risk.

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Similar(47)

The Intensive care and Surgical modules were the most predictive ones, and the Infant and Perinatal modules the least predictive.

In multibiomarker predictive models, 3 proteins including HMMR, SIAH2, and SMAD4 were consistently represented among the top 2, 3, 4, and 5 most predictive biomarkers, and a signature comprised of these proteins best predicted BF at 3 and 5 years.

The goal of modeling is to select the most predictive model, and to estimate parameters and initial conditions.

The location and time-related features are the most predictive ones, and outperform the Markov model baseline.

We pursue two separate analyses: an analysis ofindependent variables, in which we tie each study to a particular guiding learning theory in an attempt to determine which guiding theory has had the most predictive success; and an analysis of dependent variables, which enables us to determine which measurement techniques have been most sensitive to the learning benefits of AV technology.

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