Run
463558

Run 463558

Task 7536 (Learning Curve) monks-problems-3 Uploaded 09-07-2015 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
0.9911 ± 0.0111
Per class
F measure
0.9892 ± 0.0093
Per class
Kappa
0.9783 ± 0.0187
KB relative information score
0.963 ± 0.016
Mean absolute error
0.0211 ± 0.0076
Mean prior absolute error
0.4992 ± 0.0003
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893 ± 0.009
Per class
Predictive accuracy
0.9892 ± 0.0093
Prior entropy
0.9989 ± 0.0008
Recall
0.9892 ± 0.0093
Per class
Relative absolute error
0.0423 ± 0.0153
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.1043 ± 0.0551
Root relative squared error
0.2089 ± 0.1102
SciMark benchmark
921.1883