Run
461663

Run 461663

Task 72 (Learning Curve) breast-cancer Uploaded 04-07-2015 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
0.5814 ± 0.088
Per class
F measure
0.6876 ± 0.0651
Per class
Kappa
0.2198 ± 0.1578
KB relative information score
0.1059 ± 0.0831
Mean absolute error
0.376 ± 0.0277
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7157 ± 0.102
Per class
Predictive accuracy
0.7343 ± 0.0542
Prior entropy
0.8779 ± 0.0199
Recall
0.7343 ± 0.0542
Per class
Relative absolute error
0.8987 ± 0.0642
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.449 ± 0.035
Root relative squared error
0.9825 ± 0.0742
SciMark benchmark
944.4979