Run
3198722

Run 3198722

Task 33 (Supervised Classification) cylinder-bands Uploaded 30-06-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)Weka implementation of FilteredClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M10.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_RandomForest(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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.

22 Evaluation measures

Area under ROC curve
0.7689
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5936
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1922
Cross-validation details (10-fold Crossvalidation)
KB relative information score
87.1207
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4182
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.647
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.637
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.637
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8571
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9145
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1350.1711
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)