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. 2016 Jul 14;2016:3091039. doi: 10.1155/2016/3091039

Table 2.

Results of one-versus-one and one-versus-all methods when different kernels were used. True positive rates (%) are given in parentheses and accuracy (%) can be found from the last column.

Kernel/class Bad Good Semigood ACC
One-versus-all
Linear 22 (53.7%) 51 (68.9%) 18 (31.0%) 52.6%
Polynomial deg = 2 23 (56.1%) 50 (67.6%) 26 (44.8%) 57.2%
Polynomial deg = 3 18 (43.9%) 43 (58.1%) 22 (37.9%) 48.0%
Polynomial deg = 4 23 (56.1%) 39 (52.7%) 20 (34.5%) 47.4%
Polynomial deg = 5 25 (61.0%) 34 (45.9%) 17 (29.3%) 43.9%
Polynomial deg = 6 23 (56.1%) 33 (44.6%) 18 (31.0%) 42.8%
RBF 25 (61.0%) 50 (67.6%) 29 (50.0%) 60.1%

One-versus-one
Linear 28 (68.3%) 52 (70.3%) 25 (43.1%) 60.7%
Polynomial deg = 2 21 (51.2%) 46 (62.2%) 15 (25.9%) 47.4%
Polynomial deg = 3 20 (48.8%) 45 (60.8%) 24 (41.4%) 51.4%
Polynomial deg = 4 14 (34.1%) 41 (55.4%) 21 (36.2%) 43.9%
Polynomial deg = 5 24 (58.5%) 32 (43.2%) 21 (36.2%) 44.5%
Polynomial deg = 6 19 (46.3%) 39 (52.7%) 17 (29.3%) 43.4%
RBF 27 (65.9%) 50 (67.6%) 24 (41.4%) 58.4%