The phrase "a good classification of" is correct and usable in written English.
You can use it when discussing the categorization or organization of items, concepts, or data in a way that is effective or appropriate.
Example: "The researcher provided a good classification of the various species found in the region, making it easier for others to understand their relationships."
Alternatives: "an effective categorization of" or "a suitable grouping of".
This seems to imply that some common features allow for a good classification of the top level.
The important point in this observation is that a good classification of the latent process r is a sufficient but not a necessary condition for good ICA estimation.
We observe that the bad classification of pixels in the Fig. 5c is corrected in this stage providing a good classification of blue whales and background.
The results have shown a good classification of the grape varieties and the identification of the mixtures with Pinot Noir up to 75%.
From the last line of Table 3, we note that the result obtained by cross-validation (CV) improves the conventional test, which proves that the proposed approach allows a good classification of poses even when varying samples.
Leaving genetic stochasticity aside, do the other three categories provide a good classification of stochasticity, or is the classification more like that of animals in Borges' notorious Chinese encyclopedia?[26] For any classification to be a good one, it must, at the very least satisfy three criteria: (i) it must organize phenomena into a relevantly homogeneous class of categories.
We observed a good concordance (Fig. 3d) with a good classification rate of 0.839, a kappa index of 0.628, and sensitivity and specificity equal to 0.975 and 0.609, respectively.
The benefits of a good classification and the costs of a misclassification in terms of health status as well as the prevalence of the disease can also be taken into account [ 10].
And the second is that not even a normalized probability of occurrence for the Q/N composition of a stretch guaranties a good classification performance in terms of number of false positive prions that will be returned to rescue a desired number of true prions.
Kelly et al. [44] gives a good classification and overview of works on implicit feedback.
The discriminant functions applied showed a globally good classification of 99.79% for the best model Class="−96.067+1.988×102X0Av+91.907BIC3+6.853CIC1 in the training set.
