Classifier accuracy for Wake vs. Sleep- local CNA features.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Classifier_accuracy_for_Wake_vs_Sleep_local_CNA_features_/697816
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Five different classifiers were applied to local CNA features, derived from inter area partial correlations in the 0.01–01 Hz band. Classifiers are ordered according to accuracy. Significance was assessed using Fisher's exact test. CV denotes accuracy across training folds. FuncCon denotes BDopt classification using the raw functional connectivity.
创建时间：
2015-12-02
