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Exact(29)
As it follows a chi-square distribution, we can estimate if the two models are statistically different from each other.
The trained models are statistically evaluated, and the best-performing model is selected to be deployed into production.
All the models are statistically robust both internally and externally (Q2: 0.540–0.693, R2pred: 0.722–0.810).
The estimates of the models are statistically significant at least 97.4% confidence level.
The models are statistically robust, externally predictive and characterized by a wide structural applicability domain.
According to the obtained results, the developed models are statistically accurate and can be used for further analysis.
Similar(31)
All top models were statistically significant, with adjusted R2s ranging from 0.05 to 0.42.
These results indicated that the regression models were statistically significant.
All models were statistically evaluated using strict criteria.
The models were statistically significant; thus the information contributes to the design of new larvicidal agents.
The regression results represented that the models were statistically significant (R 2 = .434, F (3, 208) = 53.08, p < .001).001
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