Example Datasets and Results
Below are example datasets and results using the
OpenKernel library. The results can be obtained by running the
cross_validation.sh
script with the indicated arguments.
Electronics
dataset
$ cross_validate.sh elec.list 10 klcombinefeatures "`seq 0 0`" "--sparse --weight_type=unif" lin "`seq -10 0`" "-s 3 -B -1" ""
summary
$ cross_validate.sh elec.list 10 klcombinefeatures "`seq 0 0`" "--sparse --weight_type=lin1 --tol=1e-5" lin "`seq -10 0`" "-s 3 -B -1" ""
summary
$ cross_validate.sh elec.2-gram 10 klweightfeatures "`seq 10 16`" "--weight_type=unif --sparse --features --offset=1" lin "0" "-s 3 -B -1" ""
summary
$ cross_validate.sh elec.2-gram 10 klweightfeatures "`seq 7 13`" "--weight_type=corr --sparse --features --offset=1" lin "0" "-s 3 -B -1" ""
summary
Ionosphere
dataset
$ cross_validate.sh ionosphere_scale 10 klweightfeatures "`seq 0 0`" "--weight_type=unif --features" svm "`seq 10 20`" "-s0 -t0" ""
summary
$ cross_validate.sh ionosphere_scale 10 klweightfeatures "`seq 0 0`" "--weight_type=quadl2 --features" svm "`seq 10 20`" "-s0 -t0" ""
summary
Abalone
dataset
$ cross_validate.sh abalone_scale 5 klweightfeatures "`seq 10 20`" "--weight_type=unif --features --offset=1" krr "`seq 0 0`" "" ""
summary
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AfshinRostamizadeh - 14 Sep 2009