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The interpreter is able to select the best model obtained from a k-fold cross-validation or to use a unique split-sample dataset for classification of all pixels in a given textural image.
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Cross validation produces a more reliable result as it uses a unique split when evaluating the performance of the classifier.
Use a unique umbrella.
You can also use a unique towel!
Use a unique password for each application.
Using a split-sample design we test the potential for retrospective assessment to influence citizens' preferences for future policy decision.
To minimize the risk of false-positive findings, we used a split-sample approach to internally validate the data [19].
We used a split-sample validation technique for statistical analysis, as described previously [ 22].
Once our final model was selected, we assessed its reliability using a split-sample analysis.
We used a split-sample design to investigate different etiologic risk factors in detail.
Second, our model was not validated in an independent external data set or using a split-sample approach.
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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