Run
594217

Run 594217

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 17-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_Logistic(1)Weka implementation of FilteredClassifier
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1
weka.FilteredClassifier_MultiSearch_Logistic(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_Logistic(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_Logistic(1)_EACC
weka.MultiSearch_Logistic(1)_class-label1
weka.MultiSearch_Logistic(1)_search[weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_Logistic(1)_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_Logistic(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_Logistic(1)_S1
weka.MultiSearch_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.6275
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5386
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1874
Cross-validation details (10-fold Crossvalidation)
KB relative information score
110.6681
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3676
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.52
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5628
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5628
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9688
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4264
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9792
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.8307
UserCPU time millis
1880
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1830
Cross-validation details (10-fold Crossvalidation)