Run
594506

Run 594506

Task 9903 (Supervised Classification) autoUniv-au7-500 Uploaded 18-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_RandomForest(1)Weka implementation of FilteredClassifier
weka.RandomForest(9)_I500
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.FilteredClassifier_MultiSearch_RandomForest(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_RandomForest(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_RandomForest(1)_EACC
weka.MultiSearch_RandomForest(1)_class-label1
weka.MultiSearch_RandomForest(1)_search[weka.core.setupgenerator.MathParameter -property numFeatures -min 1.0 -max 8.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_RandomForest(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_RandomForest(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_RandomForest(1)_S1
weka.MultiSearch_RandomForest(1)_Wweka.classifiers.trees.RandomForest

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
0.7825
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5203
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
161.3867
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2329
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
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
0.5129
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.542
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.542
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7774
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3475
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.898
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.1844
UserCPU time millis
3280
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2990
Cross-validation details (10-fold Crossvalidation)