DEVELOPMENT... OpenML
Run
152722

Run 152722

Task 7287 (Supervised Classification) adult 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
0.8937
Per class
Average cost
0.0771
F measure
0.84
Per class
Kappa
0.5469
KB relative information score
19348.3407
Mean absolute error
0.2092
Mean prior absolute error
0.3641
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
0.8387
Per class
Predictive accuracy
0.8459
Prior entropy
0.7939
Recall
0.8459
Per class
Relative absolute error
0.5747
Root mean prior squared error
0.4266
Root mean squared error
0.3288
Root relative squared error
0.7706
SciMark benchmark
910.8389
Total cost
3764
UserCPU time millis
930
UserCPU time millis testing
160
UserCPU time millis training
770