Table 7

Classification Performance on the Local Structure Alphabet Dataset.

w = f = 5

w = f = 7

w = f = 9


ROC

Q16

ROC

Q16

ROC

Q16


0.82

64.9

0.81

64.7

0.81

64.2

0.83

67.3

0.82

67.7

0.82

67.7

0.84

66.4

0.84

66.9

0.83

67.2

0.85

68.0

0.84

68.5

0.83

68.9**


w = f gave the best results on testing on few sample points, and hence due to the expensive nature of this problem, we did not test it on a wide set of parameters. ** denotes the best scoring model based on the Q16 scores. For this best model the se rate of 0.21.

Rangwala et al. BMC Bioinformatics 2009 10:439   doi:10.1186/1471-2105-10-439

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