Run
435042

Run 435042

Task 1764 (Learning Curve) electricity Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)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(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.8634 ± 0.0084
Per class
F measure
0.7891 ± 0.0092
Per class
Kappa
0.5663 ± 0.0188
KB relative information score
0.4401 ± 0.0256
Mean absolute error
0.2857 ± 0.0135
Mean prior absolute error
0.4886 ± 0
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
0.7901 ± 0.0087
Per class
Predictive accuracy
0.7908 ± 0.0089
Prior entropy
0.9835 ± 0
Recall
0.7908 ± 0.0089
Per class
Relative absolute error
0.5847 ± 0.0277
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.383 ± 0.0061
Root relative squared error
0.7749 ± 0.0123
SciMark benchmark
895.2913
UserCPU time millis
950
UserCPU time millis testing
110
UserCPU time millis training
840