DEVELOPMENT... OpenML
Run
61575

Run 61575

Task 1764 (Learning Curve) electricity Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_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.

21 Evaluation measures

Area under ROC curve
0.9744 ± 0.0023
Per class
Build CPU time
3.3145
Build memory
1602223505.44
F measure
0.9342 ± 0.0027
Per class
Kappa
0.8653 ± 0.0056
KB relative information score
0.8626 ± 0.0067
Mean absolute error
0.0665 ± 0.0033
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
0.9342 ± 0.0027
Per class
Predictive accuracy
0.9343 ± 0.0027
Prior entropy
0.9835 ± 0
Recall
0.9343 ± 0.0027
Per class
Relative absolute error
0.1362 ± 0.0067
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2424 ± 0.0074
Root relative squared error
0.4904 ± 0.0149
SciMark benchmark
1559.5381