Sentence examples for the total classification from inspiring English sources

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.

The total classification accuracy by that approach for both the training and testing datasets was 80.31 and 80.05 %, respectively.

C is a scalar cost factor and (sum _{i=1}^{N}xi _{i}) measures the total classification error.

Using the same evaluation criteria reported above, Table 2 shows that, for race estimation, the CLBP descriptor, using an unbalanced dataset and non-scaled values as input to the classifier, returned the best total classification accuracy (79.4 %).

More specifically, Table 1 shows that, for gender estimation, the CLBP descriptor, using a balanced dataset and non-scaled values as input to the classifier, returned the best total classification accuracy (94.5 %).

The best total classification accuracy is obtained using the MBD and SPEC; and is in a range (96% to 97%) for 100 segments.

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

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