Run
454805

Run 454805

Task 1764 (Learning Curve) electricity Uploaded 18-06-2015 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
0.8828 ± 0.0078
Per class
F measure
0.8196 ± 0.0088
Per class
Kappa
0.6297 ± 0.0181
KB relative information score
0.5148 ± 0.014
Mean absolute error
0.2493 ± 0.0066
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8197 ± 0.0087
Per class
Predictive accuracy
0.8203 ± 0.0087
Prior entropy
0.9835 ± 0
Recall
0.8203 ± 0.0087
Per class
Relative absolute error
0.5103 ± 0.0134
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3655 ± 0.0073
Root relative squared error
0.7394 ± 0.0148
SciMark benchmark
940.9619
UserCPU time millis
610
UserCPU time millis testing
60
UserCPU time millis training
550