Exact(9)
By this principle, a reduced set of variables was achieved (Meloun et al. 1992).
Also, in certain contexts, a reduced set of variables may be used depending on their usefulness for the data fusion procedure.
Second, a performance assessment based on a reduced set of variables could lead to bias.
This procedure was repeated for each individual covariate, resulting in a reduced set of variables for the final logistic regression model.
Classification performance on a reduced set of variables obtained by various dimensionality reduction procedures is evaluated by means of a leave-one-out cross validation.
However, a number of the audience interpreted the concept of making decisions based on a reduced set of variables as less evidence-based.
Similar(51)
Because comparisons in environmental space become exponentially more time-consuming as the number of variables increases, these comparisons were made with a reduced set of environmental variables.
Using a reduced set of important variables (i.e. reducing the dimensionality of input space by the variable selection procedure) results in support vector machines with better performance.
For example, the success rate in ham classification (11-class problem) rises from 79.91% (when all the variables available are used) to 90.30% (when a reduced set of input variables is used).
Variable-selection procedures were aimed at identifying a reduced set of independent variables that provided the best fit for the model.
The relevant variables involved in the problem are recognized from experimental evidence, a reduced set of dimensionless variables is selected using dimensional analysis, a set of compatibility conditions are established and the constraints to be fulfilled by the model considered.
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