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Feature selection schemes were compared by averaging cross validation error rates (CVER), sizes of feature sets found and searching times across the classification models (Table S2).
Variation in the proportion unexplained was shown across the classification teams reflecting differences in interpretation of the classification systems.
First, we have performed extensive mining of the CCLE using methods such as lasso, ridge regression, elastic net, or SVMs and have generally found similar results across the classification algorithms.
As the instructions for the number of classification categories which could be assigned to each case varied across the classification, for consistency, the classification teams were asked to assign up to three categories for complicated cases.
The NS-SEC was not designed as an ordinal scale, although studies investigating NS-SEC and health outcomes have found evidence for significant trends across the classification [ 24, 25, 27].
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A rather different way of classifying materialist theories, which to some extent cuts across the classifications already made, emerges when the theories are divided according to the way in which a materialist accounts for minds.
Across the classifications, some notable patterns emerged from the comparisons of plot frequencies and species similarity.
The classifications generated groups of classes that had broadly similar distributions, but often there was no one-to-one analog across the classifications.
Ease scores were significantly different across the classifications (p < 0.01).
In addition, the proportion of unexplained stillbirths was analysed across the classifications and classification teams.
Mean overall InfoKeep scores were significantly different across the classifications (p < 0.01).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com