Run
594419

Run 594419

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 17-06-2016 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
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9641
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.96
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1540.9159
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0737
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9644
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.964
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.964
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4097
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1449
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.483
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.79
UserCPU time millis
12740
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
12140
Cross-validation details (10-fold Crossvalidation)