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The number of misclassification compared with other methods.

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https://figshare.com/articles/dataset/_The_number_of_misclassification_compared_with_other_methods_/1135312
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The number of misclassification using simplified nonlinear fitness function, optimal linear scoring function taken as reported in [26], [28], and Miyazawa-Jernigan statistical potential [34] for both native proteins and decoys (separated by “/”) in the test set and the training set. The simplified nonlinear function is formed using a basis set of 3,680 (480 native+3,200 decoy) contact vectors derived using Strategy 2.
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2014-08-11
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