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For class prediction (vs. class discovery), I always transform (remove scale effects) for input features. Metrics for features with larger scale (range) can swamp metrics of features with smaller scale. Depending on your method (there are numerous boosting approaches), you might also consider decorrelating features. A golden rule regarding correlated ...
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