Run
435059

Run 435059

Task 2098 (Learning Curve) abalone Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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.

20 Evaluation measures

Area under ROC curve
0.6915 ± 0.0154
Per class
Kappa
0.1185 ± 0.0257
KB relative information score
0.1759 ± 0.0209
Mean absolute error
0.0583 ± 0.0009
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.2224 ± 0.0244
Prior entropy
3.6031 ± 0.0188
Recall
0.2224 ± 0.0244
Per class
Relative absolute error
0.943 ± 0.0143
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1717 ± 0.0014
Root relative squared error
0.9772 ± 0.0081
SciMark benchmark
938.3789
UserCPU time millis
2350
UserCPU time millis testing
200
UserCPU time millis training
2150