Sentence examples for a different number of classes from inspiring English sources

The phrase "a different number of classes" is correct and usable in written English.
It can be used when discussing variations in the quantity of classes in a particular context, such as education or programming.
Example: "The curriculum offers a different number of classes each semester, depending on student enrollment."
Alternatives: "a varying number of classes" or "an alternative number of classes".

Exact(1)

More specifically, the BIC differences between the linear and the quadratic models were smaller than the BIC differences between the models with a different number of classes.> -wrap-foot> BIC Bayesian Information Criterion, LMR-LRT represents the p value of the Lo Mendell Rubin likelihood ratio test [ 22], which was included for comparison, n.a.a

Similar(59)

Many different models were subsequently produced using a different number of predetermined classes.

The fusion procedure uses a different number of partial results, from class to class, because these classes have different uncertainties.

This way of scoring is less sensitive to randomness caused by a different number of examples in each class, therefore, it is less sensitive to class bias in training data.

To compare the models' fit with the different number of classes; a Vuong Lo Mendell Rubin (VLMR) (VLMR: Lo et al. 2001) test in addition to Bayesian information criterion (BIC) and sample-size-adjusted BIC (SSA-BIC) were used.

Entropy and fuzziness calculations for different number of classes resulted in a division of the field into five clearly differentiated yield potential zones.

As a result, the classification accuracies and the contributions of input variables are studied for the different number of classes.

The division generates different number of classes in each chunk.

Table 2 presents recognition rates for systems adapted to singing voice using different number of classes in the first adaptation pass, as presented in Table 1.

Table 2 also presents recognition performance of systems adapted with different number of classes in the first pass and 8 classes in the second pass using the clustering to form these 8 classes.

Due to the unsupervised nature of clustering, the number of classes must be specified beforehand; otherwise, it must be selected through several executions of the clustering algorithm on data with different number of classes.

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