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

-- AfshinRostamizadeh - 14 Sep 2009