Run
477703

Run 477703

Task 1764 (Learning Curve) electricity Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M2

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
0.9278 ± 0.0031
Per class
F measure
0.9082 ± 0.0034
Per class
Kappa
0.812 ± 0.0069
KB relative information score
35172.4092 ± 30.4359
Mean absolute error
0.1138 ± 0.0033
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9082 ± 0.0034
Per class
Predictive accuracy
0.9082 ± 0.0034
Prior entropy
0.9835
Recall
0.9082 ± 0.0034
Per class
Relative absolute error
0.2329 ± 0.0068
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2856 ± 0.0042
Root relative squared error
0.5778 ± 0.0085
SciMark benchmark
1801.8585
UserCPU time millis
1660
UserCPU time millis testing
30
UserCPU time millis training
1630