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Discover Ludwig"feature space" is a correct and usable phrase in written English.
It refers to a mathematical concept used in data analysis and machine learning, where each data point is represented by a set of features or characteristics. You can use "feature space" in a sentence like: "Our algorithm maps the data points onto a higher-dimensional feature space, allowing for better classification accuracy."
Exact(60)
Feature space versus weight space.
A face feature space in the macaque temporal lobe.
Subsequently, a choice of graph kernel defines the feature space.
Feature space.
Feature space dimensionality reduction.
(e) Feature space.
High-dimensional feature space.
(a) Evaluation (LDA feature space) (b) Test (LDA feature space).
This enlarges feature space dimension.
(a) Evaluation (PCA feature space) (b) Test (PCA feature space) (c) Evaluation (LDA feature space) (d) Test (LDA feature space).
The feature space has dimensionality.
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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