DEVELOPMENT... OpenML
Run
152724

Run 152724

Task 6566 (Supervised Classification) Internet-Advertisements 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
0.8355
Per class
F measure
0.9352
Per class
Kappa
0.7202
KB relative information score
1744.0303
Mean absolute error
0.1177
Mean prior absolute error
0.2409
Number of instances
3279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9353
Per class
Predictive accuracy
0.9381
Prior entropy
0.5848
Recall
0.9381
Per class
Relative absolute error
0.4885
Root mean prior squared error
0.347
Root mean squared error
0.2338
Root relative squared error
0.6738
SciMark benchmark
943.6956
UserCPU time millis
3310
UserCPU time millis testing
20
UserCPU time millis training
3290