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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
  1. Numbers with underline are the best results among all models