Research Article
Comparison of Baseline Cepstral Vector and Composite Vectors in the Automatic Seizure Detection Using Probabilistic Neural Networks
Table 2
Effect of baseline cepstral vector length
on overall accuracy in different classification problems for
and
.
| | Classification problem | | | | | | |
| | 1 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | | 2 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 99.0 | | 3 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | | 4 | 100.0 | 100.0 | 100.0 | 100.0 | 99.9 | 99.7 | | 5 | 100.0 | 100.0 | 100.0 | 100.0 | 99.5 | 96.4 | | 6 | 100.0 | 100.0 | 100.0 | 100.0 | 99.8 | 98.3 | | 7 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 99.7 |
|
|
