Run
576314

Run 576314

Task 14 (Supervised Classification) mfeat-fourier Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_Bagging_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AttributeSelectedClassifier_Bagging_J48(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_J48(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_J48(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_J48(7)_P100
weka.Bagging_J48(7)_S1
weka.Bagging_J48(7)_num-slots1
weka.Bagging_J48(7)_I10
weka.Bagging_J48(7)_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.

22 Evaluation measures

Area under ROC curve
0.9744
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8145
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7944
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1614.4855
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0535
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_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8149
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2972
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1609
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5363
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1364.9381
UserCPU time millis
1730
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1690
Cross-validation details (10-fold Crossvalidation)