Table 4 32 L-Measure features of auto blocks based classification results by FCNN, LR and SVM
From: Classifying the tracing difficulty of 3D neuron image blocks based on deep learning
Dataset | FCNN | LR | SVM | |||
|---|---|---|---|---|---|---|
Accuracy | F1 | Accuracy | F1 | Accuracy | F1 | |
Training | \(\underline{78.03\pm 0.14}\) | \(\underline{77.71\pm 0.18}\) | 75.38±0.20 | 75.24±0.20 | 73.54±0.14 | 73.55±0.14 |
Test | \(\underline{77.97\pm 0.34}\) | \(\underline{77.63\pm 0.31}\) | 75.34±0.26 | 75.17±0.25 | 73.28±0.35 | 73.27±0.35 |