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Merge pull request #14465 from unrandomness:master

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Alexander Alekhin 2019-05-01 22:00:02 +00:00
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modules/ml/doc/ml_intro.markdown
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@ -25,7 +25,7 @@ components:
vector responses.
- Another optional component is the mask of missing measurements. Most algorithms require all the
components in all the training samples be valid, but some other algorithms, such as decision
tress, can handle the cases of missing measurements.
trees, can handle the cases of missing measurements.
- In the case of classification problem user may want to give different weights to different
classes. This is useful, for example, when:
- user wants to shift prediction accuracy towards lower false-alarm rate or higher hit-rate.