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

Area under ROC curve
0.8259
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8305
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6566
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9848.675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1687
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8313
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8313
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.341
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4107
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8258
Cross-validation details (10-fold Crossvalidation)