Run
4162563

Run 4162563

Task 2 (Supervised Classification) anneal Uploaded 05-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_AttributeSelectedClassifier_LWL_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.LWL_J48(4)_Atrue
weka.LWL_J48(4)_K-1
weka.LWL_J48(4)_U0
weka.LWL_J48(4)_Wweka.classifiers.trees.J48
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_J48(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_J48(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_LWL_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_LWL_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_LWL_J48(2)_Wweka.classifiers.lazy.LWL

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
0.9648
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9406
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8495
Cross-validation details (10-fold Crossvalidation)
KB relative information score
673.913
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
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
0.9407
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.941
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.941
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2987
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1335
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.517
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1461.191
UserCPU time millis
6140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
6140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)