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The phrase "a subset of useful" is correct and usable in written English.
It can be used when discussing a specific group or category that falls within a broader concept of usefulness.
Example: "The tools we have selected are a subset of useful resources that can enhance productivity."
Alternatives: "a portion of helpful" or "a segment of beneficial".
Exact(3)
Conventional feature selection methods apply multiple level processing on a given feature vector to find a subset of useful features for classification using several machine learning techniques and search strategies.
Other approaches using high throughput metabolite analysis focus on a subset of useful information while avoiding the difficulties of comprehensive metabolite characterization; metabolic fingerprinting uses signals from hundreds to thousands of metabolites for rapid sample classification via statistical analysis [ 52].
It is better to choose a subset of useful features.
Similar(57)
A subset of 'useful' and 'non-useful' articles that were located near each other in this multi-dimensional space was identified by SVM and these articles are known as positive and negative support vectors respectively.
We evaluated our approach on a wide range of pharmaceutically relevant targets using a subset of the Directory of Useful Decoys (DUD) Release 2 [ 34, 35].
Furthermore, we compared our approach to the optimal assignment with equal edge weights and two literature similarity functions on a subset of the Directory of Useful Decoys using sophisticated virtual screening performance metrics.
Precisely, only a subset of HTTP is useful to implement a Web service [52] and, consequently, our small HTTP implementation supports only a limited set of requests (GET/POST only), headers, MIME types, encodings (UTF-8 only), languages and mechanisms.
For example, do some Y-STRs lead to more reliable estimates than others [8], and can a subset of the most useful ones be identified?
We evaluated our approach on a subset of the Directory of Useful Decoys that is suitable for ligand-based virtual screening [1][4].
The Tree based model is more efficient in dealing with missing values and given that the two approaches identify a nearly identical subset of useful explanatory variables, the possibility that the missing values are having an undue influence on the final regression model is remote.
Typically, this class of devices can accommodate Web technologies provided the technologies are adequately revisited, knowing that only a subset of these technologies are useful for implementing Web services in order to achieve the Web of Things (WoT) vision.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com