Run
3843111

Run 3843111

Task 2 (Supervised Classification) anneal Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.AdaBoostM1_J48(5)_P100
weka.AdaBoostM1_J48(5)_S1
weka.AdaBoostM1_J48(5)_I10
weka.AdaBoostM1_J48(5)_Wweka.classifiers.trees.J48
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_J48(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_J48(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_J48(2)_Wweka.classifiers.meta.AdaBoostM1

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
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9266
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8169
Cross-validation details (10-fold Crossvalidation)
KB relative information score
710.5691
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0287
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9269
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9265
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9265
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2135
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1392
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.539
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1486.6718
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)