OpenML
26659

Run 26659

Task 1775 (Supervised Classification) balance-scale Uploaded 08-10-2014 by Joaquin Vanschoren
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Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.8399
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0049
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
37159733.1174
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.768
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.6154
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1656.406
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1761
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3125
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7503
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7888
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7888
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.4638
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3466
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7957
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
945.5782