Run
593485

Run 593485

Task 3022 (Supervised Classification) vowel Uploaded 15-06-2016 by Jan van Rijn
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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.

22 Evaluation measures

Area under ROC curve
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9933
Cross-validation details (10-fold Crossvalidation)
KB relative information score
285.9101
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1488
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.994
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9939
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2634
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1385.5171
UserCPU time millis
1190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
320
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
870
Cross-validation details (10-fold Crossvalidation)