DEVELOPMENT... OpenML
Run
152597

Run 152597

Task 3881 (Supervised Classification) ipums_la_99-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
0.8526
Per class
F measure
0.9051
Per class
Kappa
0.0056
KB relative information score
-4960.9492
Mean absolute error
0.107
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8973
Per class
Predictive accuracy
0.9356
Prior entropy
0.3444
Recall
0.9356
Per class
Relative absolute error
0.8892
Root mean prior squared error
0.2452
Root mean squared error
0.2306
Root relative squared error
0.9404
SciMark benchmark
932.3943
UserCPU time millis
250
UserCPU time millis testing
20
UserCPU time millis training
230