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The fact that human agreement on a binary relevance judgment is quite modest is one reason for not requiring more fine-grained relevance labeling from the test set creator.
The performance of our approaches is compared with the performance of two algorithm adaptation methods (Multi-Label k-NN and Multi-Label C4.5) and five problem transformation methods (Binary Relevance, Classifier Chain, Calibrated Label Ranking with majority voting, the Quick Weighted method for pair-wise multi-label learning and the Label Powerset method).
binary relevance.
Binary relevance corresponds to the baseline of multi-label classification.
Then, improved predictability is gained by using either classifiers chain or binary relevance transformations.
13321_2016_121_MOESM4_ESM.py Additional file 4. The python script to compare binary relevance with chains of classifiers.
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Duffy, J. A. Variable electronegativity of oxygen in binary oxides: possible relevance to molten fluorides.
This has theoretical and clinical relevance for binary variables like gender or previous surgery.
The input used in ProtNet is a list of binary interactions sorted by relevance score [ 14]. yeast_net is a network extracted from mentha [ 14].
AP can be defined using the following equation: (6) where i is the rank, corr is a binary function for the relevance of a given rank and P@i is the precision at a given cutoff rank.
The SAFT-VR DFT formalism, which has recently been extended to mixtures [F. Llovell et al., J. Chem. Phys. 133 (2010) 024704], is applied to the interfacial properties of a wide variety of binary mixtures that are of relevance to enhanced oil recovery and carbon dioxide sequestration.
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