Sentence examples for predicting test from inspiring English sources

In this paper we focus on an approach for generating efficient test cases based on the special properties of Design of Experiments and developing a logistic regression model of predicting test case outcomes.

In addition, due to the intrinsic structural differences in the cell walls, the SERS spectra can distinguish Gram-positive from Gram-negative bacteria with high sensitivity and specificity, as well as 100% accuracy on predicting test samples.

One of them is Srivasta et al.'s work [42] which includes a method combined with BAT algorithm in predicting test effort.

Linear regression analyses, predicting test raw scores from the sociodemographic features retained in the final "core" model, revealed better scores among children who a) had more educated mothers; b) lived in more adequate dwellings; c) had access to television; d) were taller; and e) had a larger head circumference (data not shown).

Linear regression analyses predicting test raw scores from the sociodemographic features retained in the final "core" model revealed generally better scores in children of more educated mothers and of mothers with higher Raven scores, those living in more adequate dwellings, those with access to television, and those who were taller and had larger head circumference (data not shown).

Results indicated some evidence that the participants' pre-training motivation was moderated by their prior negative experiences when predicting test performance.

H11 Intrinsic motivation predicts test performance positively ns..16** Interrelationship between test anxiety and learning motivation  H12 Test anxiety influences extrinsic motivation ns..12** Extrinsic motivation influences test anxiety ns.

EELR studies predict, test, and help explain economic-legal outcomes; they aim to enhance the effectiveness of legal institutions by marrying discoveries from economic and legal research.

Overall, all subscales other than test attractiveness and emotional state significantly predicted test performance.

The inclusion of structural information did not significantly predict test scores.

The models were able to predict test results with little deviation.