DEVELOPMENT... OpenML
Run
152080

Run 152080

Task 219 (Supervised Classification) electricity Uploaded 09-02-2015 by Felicia West
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8633
Per class
F measure
0.7899
Per class
Kappa
0.5679
KB relative information score
19844.483
Mean absolute error
0.2867
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
0.7911
Per class
Predictive accuracy
0.7917
Prior entropy
0.9835
Recall
0.7917
Per class
Relative absolute error
0.5868
Root mean prior squared error
0.4943
Root mean squared error
0.3831
Root relative squared error
0.775
SciMark benchmark
929.566
UserCPU time millis
1020
UserCPU time millis testing
110
UserCPU time millis training
910