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Further, the model performance was evaluated using various performance criteria.
Developed model has been evaluated using various performance indices, viz.
The column flow data were evaluated using various models.
Associations between genotype and intelligence were evaluated using various statistical tests; linear regression, logistic regression, Chi2.
For each such data set both models served as H 0, and were consecutively fitted to the data, and the Goodness of Fit (GOF) was evaluated using various bootstrap approaches, starting with the simplistic combinations described earlier.
The distance distributions of the slow-translating codons within the E. coli and B. subtilis genes and the random sequences were evaluated using Monte Carlo approach [35] using various sets (8 to 16) of codons that pair to lowly abundant tRNAs.
Statistical significances were evaluated using the set of 21836 expressed probe sets as reference.
Predictions were evaluated using the set of 100,000 genes.
The trained classifier was evaluated using the test set.
The flammability and electrochemical properties of TFMP with various contents were evaluated using self-extinguishing time (SET), conductivity test, cyclic voltammetry (CV) and glavanostatic charge and discharge test.
The model parameters were evaluated using a rather large set of retention data measured in mobile phases with various counterions and acetonitrile concentrations.
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