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 5 7种算法在ABIDE Ⅱ数据集上的实验结果 |
Tab.5 Experimental results of seven algorithms on ABIDE Ⅱ 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 | 54.26 | 53.90 | 98.66 | 3.57 | 69.70 | RF | 61.18 | 61.43 | 73.38 | 47.26 | 66.83 | KNN | 56.63 | 58.85 | 63.74 | 48.61 | 60.76 | 深度学习 | GCN | 62.03 | 64.52 | 72.73 | 54.17 | 68.38 | CCNN | 65.47 | 66.73 | 70.69 | 59.49 | 68.52 | DNN | 66.07 | 66.58 | 74.11 | 74.11 | 69.90 | 宽度学习 | 本文 | 65.29 | 86.67 | 62.93 | 40.28 | 72.55 |
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