DEVELOPMENT... OpenML
Run
152042

Run 152042

Task 137 (Supervised Classification) BNG(autos,nominal,1000000) Uploaded 09-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9267
Per class
F measure
0.7268
Per class
Kappa
0.6482
KB relative information score
620984.0582
Mean absolute error
0.1038
Mean prior absolute error
0.221
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7251
Per class
Predictive accuracy
0.7291
Prior entropy
2.3035
Recall
0.7291
Per class
Relative absolute error
0.4698
Root mean prior squared error
0.3324
Root mean squared error
0.2336
Root relative squared error
0.7029
SciMark benchmark
943.6956
UserCPU time millis
135300
UserCPU time millis testing
20820
UserCPU time millis training
114480