Run
594531

Run 594531

Task 9970 (Supervised Classification) hill-valley Uploaded 18-06-2016 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6404
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6145
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2294
Cross-validation details (10-fold Crossvalidation)
KB relative information score
120.0544
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4581
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
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
0.615
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6147
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6147
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4876
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.8364
UserCPU time millis
134560
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
460
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
134100
Cross-validation details (10-fold Crossvalidation)