Run
3866480

Run 3866480

Task 22 (Supervised Classification) mfeat-zernike Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.Bagging_NaiveBayes(12)_P100
weka.Bagging_NaiveBayes(12)_S1
weka.Bagging_NaiveBayes(12)_num-slots1
weka.Bagging_NaiveBayes(12)_I10
weka.Bagging_NaiveBayes(12)_Wweka.classifiers.bayes.NaiveBayes
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_NaiveBayes(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_NaiveBayes(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(2)_Wweka.classifiers.meta.Bagging

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
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7362
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1552.1454
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2947
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1916
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6385
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1616.4913
UserCPU time millis
1120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1020
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)