Run
2345792

Run 2345792

Task 14 (Supervised Classification) mfeat-fourier Uploaded 25-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_J48(2)Weka implementation of AttributeSelectedClassifier
weka.J48(38)_C0.5
weka.J48(38)_M10
weka.AttributeSelectedClassifier_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(2)_Wweka.classifiers.trees.J48

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.

17 Evaluation measures

Area under ROC curve
0.9414
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7454
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.72
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1497.9852
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0597
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)
Precision
0.7442
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.748
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.748
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3317
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1929
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6429
Cross-validation details (10-fold Crossvalidation)