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Fig. 1. (a) The 10-fold cross validation result of random forest model using an independent population (Austria, ... Fig. 1. (a) The 10-fold cross validation.

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Presentation on theme: "Fig. 1. (a) The 10-fold cross validation result of random forest model using an independent population (Austria, ... Fig. 1. (a) The 10-fold cross validation."— Presentation transcript:

1 Fig. 1. (a) The 10-fold cross validation result of random forest model using an independent population (Austria, ... Fig. 1. (a) The 10-fold cross validation result of random forest model using an independent population (Austria, Germany and Denmark), (b) a test-train model using random forest model on a multiracial population (70% of samples to train and 30% for test), (c) using Mann–Whitney test to compare CRC index of MetaMarker in four different populations. (d) Using Mann–Whitney test to compare CRC index of LEFSe in four different populations Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press. All rights reserved. For permissions, please article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Bioinformatics, btz123, The content of this slide may be subject to copyright: please see the slide notes for details.

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