Sentence examples for validated correlation from inspiring English sources
The developed model showed a strong correlative and predictive capability having a cross validated correlation co-efficient of 0.747 for CDK4 and 0.755 for CDK2 inhibitions.
A comparison between non-dimensional numbers solved by simulation, experimental data, and the obtained and validated correlation results is reported.
The model exhibits high correlation (R = 0.933), less rmsd (1.014), high cross validated correlation coefficient (Q2 = 0.872) among the ten models examined and validated by Fischer's randomization test at 95% confidence level.
The G-QSAR model obtained was statistically significant with r2 value of 0.85, cross validated correlation coefficient q2 value of 0.71 and pred_r2 (r2 value for test set) value of 0.89.
Respondents were asked to examine line drawings and accompanying descriptions of the five Tanner stages for breast size and pubic hair and to record which drawing most closely resembled their stage of development The diagrams used were previously validated (correlation with physician assessments were 0.63 for breast development, and 0.81 for pubic hair distribution) (23).
CoMFA derived QSAR model shows a good conventional squared correlation coefficient r2 and cross validated correlation coefficient r2cv 0.896 and 0.568 respectively.
Based on the results two new and properly validated correlations are proposed, which can serve as a useful tool for designing microfluidic devices.
They included improved measures for data quality assurance and control, validated correlations with health outcomes, and confirmation that remote-sensing data accurately represent exposures on the ground.
Linear regressions also validated correlations between the relative abundance of Streptococcus and Prevotella and the levels of lysozyme and IL-1β, and between the relative abundance of Veillonella and Haemophilus and the level of lysozyme (Supplementary Fig. S5).
"Our topic modeler looks for phone number related complaints, and then classifies them using Data Scientist to validate correlation.
While progress has been made in the last few years relative to predicting flashback for practical systems with high Reynolds numbers, only limited data are available for developing and validating correlations.
