DEVELOPMENT... OpenML
Run
152611

Run 152611

Task 3892 (Supervised Classification) hiva_agnostic 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
0.584
Per class
F measure
0.9509
Per class
Kappa
0.099
KB relative information score
-15312.1358
Mean absolute error
0.1033
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9485
Per class
Predictive accuracy
0.9643
Prior entropy
0.221
Recall
0.9643
Per class
Relative absolute error
1.5155
Root mean prior squared error
0.1844
Root mean squared error
0.1908
Root relative squared error
1.035
SciMark benchmark
932.3943
UserCPU time millis
4450
UserCPU time millis testing
20
UserCPU time millis training
4430