OpenML
598643

Run 598643

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 30-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)Weka implementation of FilteredClassifier
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_SMO_RBFKernel(2)_EACC
weka.MultiSearch_SMO_RBFKernel(2)_class-label1
weka.MultiSearch_SMO_RBFKernel(2)_search[weka.core.setupgenerator.MathParameter -property kernel.gamma -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property c -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_SMO_RBFKernel(2)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_SMO_RBFKernel(2)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_SMO_RBFKernel(2)_S1
weka.MultiSearch_SMO_RBFKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_RBFKernel(7)_C1.0
weka.SMO_RBFKernel(7)_N0
weka.SMO_RBFKernel(7)_L0.001
weka.SMO_RBFKernel(7)_P1.0E-12
weka.SMO_RBFKernel(7)_V-1
weka.SMO_RBFKernel(7)_W1
weka.SMO_RBFKernel(7)_Kweka.classifiers.functions.supportVector.RBFKernel

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

0.8259
Per class
Cross-validation details (10-fold Crossvalidation)
0.8305
Per class
Cross-validation details (10-fold Crossvalidation)
0.6566
Cross-validation details (10-fold Crossvalidation)
9848.675
Cross-validation details (10-fold Crossvalidation)
0.1687
Cross-validation details (10-fold Crossvalidation)
0.4948
Cross-validation details (10-fold Crossvalidation)
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
0.8313
Cross-validation details (10-fold Crossvalidation)
0.9924
Cross-validation details (10-fold Crossvalidation)
0.8313
Per class
Cross-validation details (10-fold Crossvalidation)
0.341
Cross-validation details (10-fold Crossvalidation)
0.4974
Cross-validation details (10-fold Crossvalidation)
0.4107
Cross-validation details (10-fold Crossvalidation)
0.8258
Cross-validation details (10-fold Crossvalidation)