DEVELOPMENT... OpenML
Run
152613

Run 152613

Task 3896 (Supervised Classification) ada_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
0.8547
Per class
F measure
0.8225
Per class
Kappa
0.5049
KB relative information score
1398.7566
Mean absolute error
0.2525
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.823
Per class
Predictive accuracy
0.8321
Prior entropy
0.8085
Recall
0.8321
Per class
Relative absolute error
0.6766
Root mean prior squared error
0.4319
Root mean squared error
0.3493
Root relative squared error
0.8088
SciMark benchmark
932.3943
UserCPU time millis
150
UserCPU time millis testing
10
UserCPU time millis training
140