Run
593825

Run 593825

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 16-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.FilteredClassifier_MultiSearch_IBk(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_IBk(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_IBk(1)_EACC
weka.MultiSearch_IBk(1)_search[weka.core.setupgenerator.MathParameter -property KNN -min 1.0 -max 50.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_IBk(1)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_IBk(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_IBk(1)_S1
weka.MultiSearch_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.5712
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4981
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
120.8876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3708
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
0.4787
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5196
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5196
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9772
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4334
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9952
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.0109
UserCPU time millis
14710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
14610
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)