Sentence examples for mean classifier accuracies from inspiring English sources

Mean classifier accuracies across all EC voxels and subjects were around 60% (Exp. 1: left 62%, right 60%, Exp. 2: left 67%, right 57%).

Mean classifier accuracy was tested for significance using non-parametric permutation testing.

The ensLOC framework attained a mean classifier accuracy of 81%, an improvement of up to 20% across 12 subcellular localization classes defined in both methods.

The obtained vectors were classified by NN (Nearest Neighbour classifier), NM (Nearest Mean classifier) and GMM (Gaussian Mixture Models).

The masses were then ranked based on percent contribution to the classifier accuracy and the mean decrease in Gini index (Additional file 3).

The top 20 masses based on both the contribution to classifier accuracy as well as the mean decrease in Gini index were compared and reduced to a common 11.

Alternatively, a large β (e.g., 2.0) means classifier achieves a poor diagnostic accuracy or a high degree diagnostic bias.

Table 4 shows the classifier accuracy for different feature combinations.

Classifier accuracy vs. number of relevant variables for 1D methods.

Classifier accuracy versus number of relevant variables for 2D methods.

The outcome of the research study reveals that the BSS techniques in association with K-means classifier can suitably distinguish toe-walking gait from normal gait in ITW children with 97.9 ± 0.2% accuracy.