Skip to main content

Table 4 Centers of accuracy clusters obtained from classification models induced with examples from different species, per combination of feature set and learning algorithm. Range = Maximum - minimum

From: Automatic learning of pre-miRNAs from different species

Feature set Algorithm c 1 c 2 c 3 c 4 c 5 c 6 Range
FS1 SVM 95 88 78 - - - 21
FS2   96 92 87 80 - - 20
FS3   95 90 85 - - - 15
FS4   92 86 81 77 - - 22
FS5   94 90 86 80 - - 20
FS6   93 88 83 - - - 17
FS7   95 88 - - - - 16
SELECT   96 92 86 80 - - 20
FS1 RF 97 92 87 82 72 - 30
FS2   97 93 89 83 - - 20
FS3   95 88 84 - - - 18
FS4   91 87 84 79 - - 18
FS5   92 85 77 - - - 19
FS6   95 88 - - - - 16
FS7   96 89 - - - - 14
SELECT J48 96 92 86 78 - - 21
FS1   98 91 85 75 67 57 41
FS2   96 90 84 77 - - 24
FS3   97 92 87 81 - - 21
FS4   84 79 75 69 - - 21
FS5   83 78 75 71 - - 17
FS6   97 93 89 83 78 72 27
FS7   96 91 87 81 - - 21
SELECT   97 92 86 80 74 - 26