The phrase "a good generalization of" is correct and usable in written English.
It can be used when discussing a concept or idea that effectively summarizes or represents a broader category or group.
Example: "The theory presented in the paper is a good generalization of the observed phenomena in various experiments."
Alternatives: "an effective summary of" or "a valid representation of".
The trained network gave the minimum value in the MSE of 0.03 and the maximum value in the R2 of 0.9571, which implied a good agreement between the predicted value and the actual value, and confirmed a good generalization of the network.
The results presented here provide a good generalization of the above-mentioned Sofonea results.
We used a distance of geometric-mean algorithm to perform the analyses, which provides a good generalization of the niche (Hirzel and Arlettaz 2003).
We observed a higher accuracy of Taxy-Pro in the quantification of archaeal DNA, where the narrow spectrum of available database genomes requires a good generalization of the profiling method.
This should ensure a good generalization ability of the method, under the hypothesis of consistent target function between training and testing data.
A good generalization performance of the model is achieved.
To find such a bias is still the hardest problem in any ML task and essential for the initial choice of an appropriate hypothesis space, which must be large enough to contain a solution, and small enough to ensure a good generalization from a small number of data sets.
For problem (a), Max-Margin has been an important strategy since perceptrons in machine learning for the purpose of boosting the robustness of classifiers toward a good generalization ability, which experienced a renaissance lately to explain the success in deep learning.
Note that Apostol Frobenius Euler polynomials are a good generalization (or known as λ extension) of Frobenius Euler polynomials.
Also, since the results for Test Set MCI also did not change significantly, it is reasonable to say that the sample pruning and usage of metafeatures introduced a good generalization in the signature.
When the VC dimension is low, the expected probability of error is low and ensures a good generalization.
