DEVELOPMENT... OpenML
Run
152099

Run 152099

Task 225 (Supervised Classification) RandomRBF_10_1E-3 Uploaded 09-02-2015 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
0.8399 ± 0.0066
Per class
F measure
0.6307 ± 0.0109
Per class
Kappa
0.5234 ± 0.0144
KB relative information score
0.4703 ± 0.0082
Mean absolute error
0.1957 ± 0.0025
Mean prior absolute error
0.3093 ± 0
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
0.6304 ± 0.0111
Per class
Predictive accuracy
0.6343 ± 0.0112
Prior entropy
2.2205 ± 0
Recall
0.6343 ± 0.0112
Per class
Relative absolute error
0.6329 ± 0.0081
Root mean prior squared error
0.3932 ± 0
Root mean squared error
0.3221 ± 0.0045
Root relative squared error
0.8192 ± 0.0115
SciMark benchmark
923.3111
UserCPU time millis
106080
UserCPU time millis testing
16800
UserCPU time millis training
89280