DEVELOPMENT... OpenML
Run
32892

Run 32892

Task 219 (Supervised Classification) electricity Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_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.

21 Evaluation measures

Area under ROC curve
0.9809
Per class
Build CPU time
511.4683
Build memory
1206364224.0909
F measure
0.9302
Per class
Kappa
0.8571
KB relative information score
34498.4743
Mean absolute error
0.1274
Mean prior absolute error
0.4886
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9302
Per class
Predictive accuracy
0.9303
Prior entropy
0.9835
Recall
0.9303
Per class
Relative absolute error
0.2608
Root mean prior squared error
0.4943
Root mean squared error
0.2305
Root relative squared error
0.4664
SciMark benchmark
936.0333