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Furthermore, to examine whether sociodemographic and perinatal factors influenced agreement and whether disagreement affected classification of infants in preterm groups.
In addition, some factors were examined that demonstrate how they affected classification accuracy.
This reduced the number of trials on which decoder was trained on and affected classification results.
The error analysis revealed that word variations as well as certain word combinations adversely affected classification.
To further assess how repeatability affected classification, we examined the classification concordance of the repeat measurements given the classification algorithm developed in [ 3].
The exposure in this study was proximity to crop fields, and geocoding errors affected classification of homes at the 100 meter distance [ 19].
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In addition to affecting preterm rates, it also affected classifications to SGA, and influenced the high prevalence of SGA infants born to foreign-born mothers [ 11, 25].
Results show that data preprocessing significantly affect classification performance and depends on data properties.
Meanwhile, we find that the de-scattering and color correction of underwater images affect classification results.
In particular, we examine how the classifiers themselves and the characteristics that they choose can affect classification.
Here we compared six multivariate classifiers and investigated how the response-amplitude estimate used (beta- or t-value) and different pattern normalizations affect classification performance.
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