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The phrase "a test set and a validation" is correct and usable in written English.
It can be used in contexts related to machine learning, data analysis, or experimental design when discussing the components of a dataset used for training and evaluating models.
Example: "In our study, we divided the data into a training set, a test set, and a validation to ensure robust model performance."
Alternatives: "a validation set and a test dataset" or "a validation group and a test collection".
Exact(2)
The samples are divided into a training set, a test set and a validation set.
The original dataset was randomly partitioned in a 1 1 ratio to generate a test set and a validation set, while controlling for the distribution of the most advanced lesions.
Similar(58)
Since ANNs are supervised classification systems, spectra are split into a training set for calibration, a pre-validation set and a test set for internal validation.
Cross-validation consists of the following procedure: the available dataset is divided into two disjoint subsets: a training/validation set and a test set.
Training vs. test sets and cross validation.
Error analysis of the predictions using ElemNet of a test set containing 25,662 compounds from our ten-fold cross validation.
KNN-classification allows validation of classifiers by using either a cross-validation approach or a test set of new samples.
Consequently, a 3-fold outer cross-validation ensures a test set size of ≥5.
In each cross-validation, 48 hybrids were randomly selected as a training set and the remaining 16 hybrids were used as a test set.
The data set was randomly numbered and split into test data sets and a validation data set.
Data distribution of training set, testing set and external validation set.
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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