Run
594022

Run 594022

Task 9952 (Supervised Classification) phoneme Uploaded 16-06-2016 by Jan van Rijn
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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.

22 Evaluation measures

Area under ROC curve
0.8679
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7465
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3947.9779
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
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
0.8952
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8964
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8964
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2499
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3219
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1419.0275
UserCPU time millis
33760
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1740
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
32020
Cross-validation details (10-fold Crossvalidation)