DEVELOPMENT... OpenML
Run
152284

Run 152284

Task 3524 (Supervised Classification) fbis.wc 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
0.9621
Per class
F measure
0.7387
Per class
Kappa
0.7095
KB relative information score
1694.7454
Mean absolute error
0.0446
Mean prior absolute error
0.1047
Number of instances
2463
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7393
Per class
Predictive accuracy
0.7434
Prior entropy
3.5848
Recall
0.7434
Per class
Relative absolute error
0.4255
Root mean prior squared error
0.2288
Root mean squared error
0.1464
Root relative squared error
0.6397
SciMark benchmark
932.3943
UserCPU time millis
57040
UserCPU time millis testing
50
UserCPU time millis training
56990