Run
434997

Run 434997

Task 95 (Learning Curve) segment Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)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(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.9791 ± 0.0067
Per class
F measure
0.8793 ± 0.0236
Per class
Kappa
0.8588 ± 0.0273
KB relative information score
0.7956 ± 0.0259
Mean absolute error
0.0753 ± 0.0074
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8823 ± 0.0219
Per class
Predictive accuracy
0.879 ± 0.0234
Prior entropy
2.8074
Recall
0.879 ± 0.0234
Per class
Relative absolute error
0.3075 ± 0.0302
Root mean prior squared error
0.3499
Root mean squared error
0.1686 ± 0.0111
Root relative squared error
0.4819 ± 0.0318
SciMark benchmark
938.0833
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70