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The absolute values of the calculated feature importance scores were normalized, i.e. scaled to unit norm, in order to provide comparable feature rating across models: For each sample (each of the 50 shuffles) the calculated importance scores were rescaled to be confined within the range [0,1] with their sum equal to one. Then, for each feature the mean and standard deviation over the samples (shuffles) were calculated and reported as the final rating measures.
Copyright and License information: ©2020 Zihni et al
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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