Run
3950630

Run 3950630

Task 18 (Supervised Classification) mfeat-morphological Uploaded 04-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1 )Weka implementation of FilteredClassifier
weka.AdaBoostM1_NaiveBayes(5)_P100
weka.AdaBoostM1_NaiveBayes(5)_S1
weka.AdaBoostM1_NaiveBayes(5)_I10
weka.AdaBoostM1_NaiveBayes(5)_Wweka.classifiers.bayes.NaiveBayes
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(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
0.8568
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6808
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6606
Cross-validation details (10-fold Crossvalidation)
KB relative information score
601.6697
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1573
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
0.6929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.6945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8738
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2651
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8837
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1401.9181
UserCPU time millis
240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)