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Table 2 Mean ROC values and execution time (in seconds) of various methods on the Ligand Data Set.

From: Adaptive diffusion kernel learning from biological networks for protein function prediction

Algorithm Mean ROC Time
uBaseline 0.8346 ----
rBaseline 0.8223 ----
eBaseline 0.8267 ----
DKL 0.8523 165.52
DKLKL 0.8523 665.13
DKL KL u MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeeiraqKaee4saSKaeeitaW0aa0baaSqaaiabbUealjabbYeambqaaiabbwha1baaaaa@32FA@ 0.8365 4406.64
mDKL 0.8542 5.61
mDKLKL 0.8538 12.33
mDKL KL u MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeeyBa0MaeeiraqKaee4saSKaeeitaW0aa0baaSqaaiabbUealjabbYeambqaaiabbwha1baaaaa@345B@ 0.8213 62.80
Neighbor Counting 0.7010 ----
FS-Weighted Averaging 0.7785 ----
SM1 0.8162 739.69
  1. rBaseline denotes the baseline method that requires all tasks share a common kernel, uBaseline corresponds to the baseline method without this requirement, and eBaseline denotes the baseline in which all of the candidate kernel matrices are assigned the same weight.