DEVELOPMENT... OpenML
Run
152210

Run 152210

Task 3505 (Supervised Classification) codrna Uploaded 10-02-2015 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
0.9858
Per class
F measure
0.9469
Per class
Kappa
0.8805
KB relative information score
407997.7877
Mean absolute error
0.0759
Mean prior absolute error
0.4444
Number of instances
488565
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9469
Per class
Predictive accuracy
0.9469
Prior entropy
0.9183
Recall
0.9469
Per class
Relative absolute error
0.1709
Root mean prior squared error
0.4714
Root mean squared error
0.2004
Root relative squared error
0.4252
SciMark benchmark
932.3943
UserCPU time millis
39290
UserCPU time millis testing
7860
UserCPU time millis training
31430