Run
437232

Run 437232

Task 88 (Learning Curve) credit-approval Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.8999 ± 0.0385
Per class
F measure
0.8639 ± 0.0414
Per class
Kappa
0.724 ± 0.0839
KB relative information score
0.6296 ± 0.0608
Mean absolute error
0.1961 ± 0.0278
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8641 ± 0.0407
Per class
Predictive accuracy
0.8642 ± 0.041
Prior entropy
0.9912 ± 0.0021
Recall
0.8642 ± 0.041
Per class
Relative absolute error
0.3971 ± 0.0563
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3251 ± 0.0434
Root relative squared error
0.6542 ± 0.0874
SciMark benchmark
921.1883