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Models/ATC-CNN

ATC-CNN

Reported on 10 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical10 results

  • Drug ATC ClassificationonATC-GRAPH
    Absolute False
    0.0355
  • Drug ATC ClassificationonATC-GRAPH
    Absolute True
    0.7311
    best: 0.9456 (GraphATC)
  • Drug ATC ClassificationonATC-GRAPH
    Accuracy
    0.7563
    best: 0.9614 (GraphATC)
  • Drug ATC ClassificationonATC-GRAPH
    Aiming
    0.7734
    best: 0.9694 (GraphATC)
  • Drug ATC ClassificationonATC-GRAPH
    Coverage
    0.7642
    best: 0.9688 (GraphATC)
  • Drug ATC ClassificationonATC-SMILES
    Absolute False
    0.0094
  • Drug ATC ClassificationonATC-SMILES
    Absolute True
    0.9177
    best: 0.9397 (GraphATC)
  • Drug ATC ClassificationonATC-SMILES
    Accuracy
    0.9399
    best: 0.9542 (GraphATC)
  • Drug ATC ClassificationonATC-SMILES
    Aiming
    0.9583
    best: 0.9608 (GraphATC)
  • Drug ATC ClassificationonATC-SMILES
    Coverage
    0.9414
    best: 0.9609 (GraphATC)