Run
3816008

Run 3816008

Task 11 (Supervised Classification) balance-scale Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)Weka implementation of FilteredClassifier
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.001
weka.RandomTree(14)_S1
weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_RandomTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.8364
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7916
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.614
Cross-validation details (10-fold Crossvalidation)
KB relative information score
343.8016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1504
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7744
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.7744
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3878
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8903
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1462.1975
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)