Run
55635

Run 55635

Task 1764 (Learning Curve) electricity Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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.

21 Evaluation measures

Area under ROC curve
0.743 ± 0.0049
Per class
Build CPU time
0.0155
Build memory
4842632395.88
F measure
0.7558 ± 0.0045
Per class
Kappa
0.4974 ± 0.0093
KB relative information score
0.504 ± 0.0087
Mean absolute error
0.2399 ± 0.0042
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7605 ± 0.0042
Per class
Predictive accuracy
0.7601 ± 0.0042
Prior entropy
0.9835 ± 0
Recall
0.7601 ± 0.0042
Per class
Relative absolute error
0.491 ± 0.0086
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4898 ± 0.0043
Root relative squared error
0.991 ± 0.0087
SciMark benchmark
1525.9265