Sentence examples for minimum classification accuracy from inspiring English sources

Exact(1)

The minimum classification accuracy value of the respective classifier across the profile of interest was first set to zero (baseline) before determining the CoG of the accuracy shapes.

Similar(59)

Multivariate statistical analysis was also employed to reduce the number of fluorescence excitation-emission wavelength pairs needed to redevelop algorithms that demonstrate a minimum decrease in classification accuracy.

A minimum of 75% classification accuracy was required for a classifier to be used in the on-line phase.

For parameter optimization of SVM classifier, f ( x → ) could be minimum classification error or maximum classification accuracy.

Deutsch [9] uses an iterative algorithm to obtain high classification accuracy with minimum number of genes.

The comparisons among these three algorithms show us: (1) positive region preservation based algorithm can keep the decision rules supported by lower approximation region unchanged; (2) decision-monotonicity based heuristic algorithm can obtain a reduct with more positive decision rules and higher classification accuracy; (3) cost minimum based algorithm can generate a reduct with minor cost.

Both functions were tested in order to identify which gene subsets provided the highest discrimination power (the objective is to find the highest classification accuracy with a minimum number of probes).

Generally, most related algorithms aim to identify the minimum number of selected genes with high classification accuracy.

Also, the minimum number of pcs required to achieve a classification accuracy of above 90% is 15 and 11 for N = 25, 15, respectively.

They formulated the SCSP algorithm as an optimization problem to select the minimum number of channels within a constraint of classification accuracy.

To deal with this potential source of error, we confine our analysis to notes extracted that are longer in duration than a minimum threshold τ n, defined empirically based on classification accuracy (see section 3).

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