2 features, 2200 examples
sequence lengths = 40, 40, 2200 examples
sequence length = 82, 2200 examples
Running C = 5 Linear Kernel with scale = 1.0
Using 5-fold crossvalidation
Running C = 10 Poly Kernel with degree = 3
Using 5-fold crossvalidation
Running C = 10 Poly Kernel with degree = 5
Using 5-fold crossvalidation
Running C = 5 Gauss Kernel with width = 100.0
Using 5-fold crossvalidation
Running C = 0.01 Gauss Kernel with width = 1.0
Using 5-fold crossvalidation
Running C = 10 Gauss Kernel with width = 0.01
Using 5-fold crossvalidation
Running C = 10 Spec2 Kernel with degree = 1
Using 5-fold crossvalidation
Running C = 10 Spec2 Kernel with degree = 3
Using 5-fold crossvalidation
Running C = 0.01 Spec2 Kernel with degree = 5
Using 5-fold crossvalidation
Running C = 10 Cumspec2 Kernel with degree = 1
Using 5-fold crossvalidation
Running C = 10 Cumspec2 Kernel with degree = 3
Using 5-fold crossvalidation
Running C = 10 Cumspec2 Kernel with degree = 5
Using 5-fold crossvalidation
Running C = 1 Wd Kernel with degree = 1
Using 5-fold crossvalidation
Running C = 1 Wd Kernel with degree = 3
Using 5-fold crossvalidation
Running C = 2 Wd Kernel with degree = 5
Using 5-fold crossvalidation
Elapsed time (HH.MM:SS): 00.02:08
Kernel	Parameters		 C				auROC
linear	scale=1.0		 C=5.00			88.2%
poly	degree=3		 C=10.00		91.4%
poly	degree=5		 C=10.00		90.4%
gauss	width=100.0		 C=5.00			87.9%
gauss	width=1.0		 C=0.01			88.6%
gauss	width=0.01		 C=10.00		77.4%
spec	degree=1		 C=10.00		94.0%
spec	degree=3		 C=10.00		96.4%
spec	degree=5		 C=0.01			94.5%
cumspec	degree=1		 C=10.00		94.0%
cumspec	degree=3		 C=10.00		96.9%
cumspec	degree=5		 C=10.00		97.2%
wd		degree=1		 C=1.00			98.2%
wd		degree=3		 C=1.00			98.7%
wd		degree=5		 C=2.00			98.9%
results in results.txt