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The order of features and their thresholds are identified from within the training data.
In the first step of ensemble method, a set of different feature selectors are chosen and each selector provides a sorted order of features.
For verifying our working hypothesis about minimal influence of the feature order in the input data vector, the set P3 was used with the reversed order of features giving thus the set called P7.
Verification of the second working hypothesis was realized within the framework of analysis of influence of the type of the feature vector and the order of features in the feature vector on the recognition error rate and the stability of the classifier.
When extracting probabilistic distribution of "user anxiety" features in Step 2, the design of importance sorting question will help decide the order of features to be extracted, and also help avoid information loss caused by insufficient number of samples by using suitable approximation rules [7].
The precise order of features might change from iteration to iteration.
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Moreover, a damage detection approach in an order of feature extraction and discrimination was verified to be practicable if the damage-sensitive feature was properly selected.
The order of the features is also irrelevant, only maintaining a consistent ordering of features in the vectors is important.
Calabrese et al. (2003), authors of the FISH synteny tool, defined their model based on segmental homology, in which the ordering of features belonging to two homologous segments is roughly conserved, some variation being allowed.
Except for the first feature, the selection order of other features into the prediction model was based on the diminished effect from the previous selected features.
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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