Sentence examples for total classification from inspiring English sources

The average total classification accuracy for all subjects was 95.1 %.

The lowest total classification accuracy was 91.9 % (for subject A) and the highest total classification accuracy was 96.7 % (for subject B).

Best generalization results were found to be close to 75%—expressed as the total classification rate.

This is confirmed by the total classification accuracy calculated for each TFD.

The total classification rate of the proposed method can be defined as follows [3]: (9).

The total classification accuracy is in the range (93% to 95%) for 100 EEG segments.

In the fifth example, the occurrence of a strong context causes the whole image to be taken as a natural scene, also improving the total patch classification.

They considered in total seven classification methods: Bayesian decision, decision tree, the least-squares method, k-NN, dynamic time warping, SVM, and ANN, where the SVM achieved the best recognition performance in the 'leave-one-out' cross-validation process.

Sensitivity, specificity, positive predictive value, negative predictive value, and total correct classification were assessed.

The estimated pseudo R was quite high (Nagelkerke R = .40) and the total correct classification percentage was 62%%.

In total, the classification module was able to recover 88% of the 970 relevant sentences among its top five sentence candidates.