基于宽度学习系统的fMRI数据分类方法
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刘嘉诚,冀俊忠
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Classification method of fMRI data based on broad learning system
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Jia-cheng LIU,Jun-zhong JI
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表 4 7种算法在ABIDE Ⅰ数据集上的实验结果 |
Tab.4 Experimental results of seven algorithms on ABIDE Ⅰ data set |
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方法类别 | 方法 | Acc /% | Pr /% | Sn /% | Sp /% | F-measure | 传统机器学习 | SVM | 57.81 | 55.92 | 88.37 | 24.89 | 68.48 | RF | 62.40 | 62.52 | 69.24 | 55.09 | 65.59 | KNN | 58.80 | 56.73 | 87.60 | 27.77 | 68.81 | 深度学习 | GCN | 64.59 | 62.62 | 64.33 | 58.36 | 63.33 | CCNN | 65.60 | 64.61 | 76.77 | 53.49 | 69.66 | DNN | 63.98 | 65.24 | 67.13 | 60.71 | 65.86 | 宽度学习 | 本文 | 64.48 | 78.21 | 63.12 | 50.85 | 69.91 |
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