Run
3835778

Run 3835778

Task 21 (Supervised Classification) car Uploaded 03-07-2017 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_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.AttributeSelectedClassifier_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_NaiveBayes(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.FilteredClassifier_AttributeSelectedClassifier_NaiveBayes(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_NaiveBayes(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
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8449
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6648
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1002.0086
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.114
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8496
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8536
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8536
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4979
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6708
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1464.6284
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)