Run
477824

Run 477824

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)_M1

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
0.9206 ± 0.0028
Per class
F measure
0.9116 ± 0.0032
Per class
Kappa
0.8191 ± 0.0064
KB relative information score
35709.2472 ± 29.2453
Mean absolute error
0.1073 ± 0.0032
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
0.9116 ± 0.0031
Per class
Predictive accuracy
0.9117 ± 0.0032
Prior entropy
0.9835
Recall
0.9117 ± 0.0032
Per class
Relative absolute error
0.2197 ± 0.0066
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2844 ± 0.0041
Root relative squared error
0.5754 ± 0.0083
SciMark benchmark
1692.1465
UserCPU time millis
1900
UserCPU time millis testing
20
UserCPU time millis training
1880