Run
439516

Run 439516

Task 7535 (Learning Curve) monks-problems-2 Uploaded 15-05-2015 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
0.5086 ± 0.0366
Per class
F measure
0.5516 ± 0.0644
Per class
Kappa
0.0115 ± 0.0958
KB relative information score
-0.0101 ± 0.0517
Mean absolute error
0.4503 ± 0.0194
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.561 ± 0.0932
Per class
Predictive accuracy
0.6389 ± 0.0487
Prior entropy
0.9274 ± 0.0078
Recall
0.6389 ± 0.0487
Per class
Relative absolute error
0.9992 ± 0.0455
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4901 ± 0.0308
Root relative squared error
1.0327 ± 0.066
SciMark benchmark
907.3673
UserCPU time millis
10
UserCPU time millis training
10