DEVELOPMENT... OpenML
Run
152110

Run 152110

Task 2075 (Supervised Classification) abalone 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
0.6973
Per class
F measure
0.2228
Per class
Kappa
0.1431
KB relative information score
802.1279
Mean absolute error
0.0574
Mean prior absolute error
0.0618
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]
Precision
0.2214
Per class
Predictive accuracy
0.2483
Prior entropy
3.6268
Recall
0.2483
Per class
Relative absolute error
0.9296
Root mean prior squared error
0.1757
Root mean squared error
0.1718
Root relative squared error
0.9777
SciMark benchmark
923.3111
UserCPU time millis
2480
UserCPU time millis testing
210
UserCPU time millis training
2270

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