DEVELOPMENT... OpenML
Run
152572

Run 152572

Task 3856 (Supervised Classification) kdd_ipums_la_97-small 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
0.9876
Per class
F measure
0.977
Per class
Kappa
0.951
KB relative information score
6370.785
Mean absolute error
0.0489
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9779
Per class
Predictive accuracy
0.9769
Prior entropy
0.9504
Recall
0.9769
Per class
Relative absolute error
0.1049
Root mean prior squared error
0.4827
Root mean squared error
0.1469
Root relative squared error
0.3043
SciMark benchmark
929.566
UserCPU time millis
310
UserCPU time millis testing
10
UserCPU time millis training
300