Run
439512

Run 439512

Task 2102 (Learning Curve) eucalyptus Uploaded 15-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.8396 ± 0.0301
Per class
F measure
0.6018 ± 0.041
Per class
Kappa
0.494 ± 0.0512
KB relative information score
0.5072 ± 0.044
Mean absolute error
0.1849 ± 0.013
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6095 ± 0.0415
Per class
Predictive accuracy
0.6101 ± 0.0396
Prior entropy
2.2621 ± 0.0043
Recall
0.6101 ± 0.0396
Per class
Relative absolute error
0.5905 ± 0.0415
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3259 ± 0.0184
Root relative squared error
0.8236 ± 0.0467
SciMark benchmark
907.3673
UserCPU time millis
10
UserCPU time millis training
10