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When analyzing a group of genomes never surveyed for positive selection, metrics such as the ones used in the TRYP experiment to objectively evaluate classification performance in terms of sensibility, specificity and F-measure cannot be applied due to the absence of a "golden truth" reference.
Positive-definite metrics are called Riemannian, whereas the indefinite metric of relativity theory is called Lorentzian or Pseudo-Riemannian.
The correlation analysis indicates a strong positive association between metrics and the four BSC perspectives.
This also yields a topological formula for adiabatic limits and simplifies the calculation of Kreck Stolz-invariants detecting components of the space of positive scalar curvature metrics.
Though habitat patch size and contiguity had a weak positive prediction, these metrics demonstrated the importance of habitat connectivity for maintaining mammal richness.
We report, for each of the three metrics, positive correlation between gene duplicability and diversifiability.
Performance of the systems was assessed using recall (equivalent to sensitivity) and precision (equivalent to positive predictive value) metrics, as well as the F2-measure.
The performances of the three systems were evaluated using the following metrics: (TP=true positive, TN=true negative, FP=false positive, FN=false negative).
