Run
435058

Run 435058

Task 2094 (Learning Curve) adult 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
0.8869 ± 0.0075
Per class
F measure
0.8328 ± 0.0061
Per class
Kappa
0.5241 ± 0.0199
KB relative information score
0.3941 ± 0.021
Mean absolute error
0.2089 ± 0.0069
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.832 ± 0.0056
Per class
Predictive accuracy
0.8404 ± 0.005
Prior entropy
0.7938 ± 0.0002
Recall
0.8404 ± 0.005
Per class
Relative absolute error
0.5739 ± 0.0191
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3343 ± 0.0056
Root relative squared error
0.7835 ± 0.013
SciMark benchmark
912.4377
UserCPU time millis
780
UserCPU time millis testing
140
UserCPU time millis training
640