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. 2019 May 28;343:154–166. doi: 10.1016/j.neucom.2018.04.087

Table 3.

Classification accuracy in (%) for dataset-2B in both passive and active schemes. C-1: a combination of PWKNN-PWKNN classifiers; C-2: a combination of inductive-inductive classifiers (i.e. LDA-LDA); and C-3: a combination of inductive-transductive classifiers (i.e. PWKNN-LDA).

Subjects Single classifier
Passive scheme
Active scheme
C-1 C-2 C-3 C-1 C-2 C-3
B01 50.31 70.31 74.06 51.25 66.56 75.63
B02 51.35 50.31 50.31 52.81 51.15 51.15
B03 48.13 46.88 51.88 48.13 50.31 51.88
B04 50.00 90.00 92.50 49.06 89.06 92.50
B05 54.38 80.31 78.13 55.94 74.38 72.50
B06 50.63 67.50 78.13 50.94 68.75 78.75
B07 55.63 68.75 68.13 54.06 70.63 68.75
B08 53.75 59.69 73.75 53.75 62.50 73.75
B09 51.88 66.88 71.25 51.88 69.06 71.56


Mean 51.78 66.74 70.90 51.98 66.93 70.72
Std 2.39 13.49 13.15 2.47 11.79 12.84