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Update src/about.py
Browse files- src/about.py +4 -4
src/about.py
CHANGED
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@@ -157,19 +157,19 @@ family_prediction_dataset_map = {
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}
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benchmark_specific_metrics = {
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'
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'200_MF_correlation', '200_BP_correlation', '200_CC_correlation', '200_Ave_correlation',
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'500_MF_correlation', '500_BP_correlation', '500_CC_correlation', '500_Ave_correlation',
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],
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'
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'aspect_types': ['MF', 'BP', 'CC'],
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'dataset_types': ['accuracy', 'F1', 'precision', 'recall']
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},
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'
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'datasets': ['nc', 'uc30', 'uc50', 'mm15'],
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'metrics': ['F1', 'accuracy', 'mcc']
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},
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'
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}
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color_dict = {
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}
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benchmark_specific_metrics = {
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'Semantic Similarity Inference': ['sparse_MF_correlation', 'sparse_BP_correlation', 'sparse_CC_correlation', 'sparse_Ave_correlation',
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'200_MF_correlation', '200_BP_correlation', '200_CC_correlation', '200_Ave_correlation',
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'500_MF_correlation', '500_BP_correlation', '500_CC_correlation', '500_Ave_correlation',
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],
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'Ontology-based Function Prediction': {
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'aspect_types': ['MF', 'BP', 'CC'],
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'dataset_types': ['accuracy', 'F1', 'precision', 'recall']
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},
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'Drug Target Protein Family Classification': {
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'datasets': ['nc', 'uc30', 'uc50', 'mm15'],
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'metrics': ['F1', 'accuracy', 'mcc']
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},
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'Protein Protein Binding Affinity Estimation': ['mse', 'mae', 'corr']
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}
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color_dict = {
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