Generally, to consider a model as statistically sound, the statistical metrics must satisfy the following criteria: (i) (q_{textit {int}}^{2} >) 0.5, and (ii) (q_{textit {test}}^{2}) and (R_{test 0}^{2} >) 0.6.
The relationships between NDVI as an expression of recovery rates and aspect were also statistically investigated and quantified using a series of statistical metrics.
We developed a flexible algorithm named Combo that combines three statistical metrics, the Kullback-Leibler Divergence (KLD), Riloff's RlogF metric (RlogF), and a new metric called PredScal, to automatically identify salient data in bibliographic text.
Another metric set used in texture analysis is Minkowski functionals, a family of statistical metrics able to characterise n-dimensional space geometrically and topologically (Arns et al., 2010).
Maddon has always been considered an eccentric innovator, credited with incorporating advanced statistical metrics in constructing lineups and helping to reintroduce defensive shifts.
Which statistical metrics are you using?
Statistical metrics considered the model performance valid with greater than 99.5% probability across all scenarios.
Then, the statistical metrics were calculated for A with respect to B. The calculation of statistical metrics on 1,000 generations of random samples A and noisy samples B provided a distribution of statistical metrics for each dataset.
The performances of different algorithms are assessed and compared using three statistical metrics.
Each algorithm's performance is analyzed using the following statistical metrics: Hypervolume, Spacing and Pair-wise Distance.
Interestingly, the values of the statistical metrics for all ensembles increased.
