DEVELOPMENT... OpenML
Run
55589

Run 55589

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

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
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
0.7877 ± 0.0064
Per class
Build CPU time
0.1441
Build memory
2722722526.56
F measure
0.7527 ± 0.0068
Per class
Kappa
0.491 ± 0.0141
KB relative information score
0.4855 ± 0.0113
Mean absolute error
0.2506 ± 0.0054
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
0.7552 ± 0.0071
Per class
Predictive accuracy
0.756 ± 0.0068
Prior entropy
0.9835 ± 0
Recall
0.756 ± 0.0068
Per class
Relative absolute error
0.5128 ± 0.0111
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4532 ± 0.005
Root relative squared error
0.917 ± 0.0102
SciMark benchmark
1657.0131