Run
504286

Run 504286

Task 1764 (Learning Curve) electricity Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_Best First_J48(3)Weka implementation of CostSensitiveClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Mtrue
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_S1
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(4)_Wweka.classifiers.trees.J48

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
0.5045 ± 0.0017
Per class
F measure
0.4322 ± 0.0035
Per class
Kappa
0.0102 ± 0.0039
KB relative information score
5826.1083 ± 13.3346
Mean absolute error
0.4215 ± 0.0014
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
0.6172 ± 0.0298
Per class
Predictive accuracy
0.5785 ± 0.0014
Prior entropy
0.9835
Recall
0.5785 ± 0.0014
Per class
Relative absolute error
0.8627 ± 0.0029
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.6492 ± 0.0011
Root relative squared error
1.3135 ± 0.0022
SciMark benchmark
914.23
UserCPU time millis
2940
UserCPU time millis testing
60
UserCPU time millis training
2880