Run
55095

Run 55095

Task 1702 (Learning Curve) kr-vs-kp Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

21 Evaluation measures

Area under ROC curve
0.9169 ± 0.0119
Per class
Build CPU time
0.0043
Build memory
3066089250.5333
F measure
0.8677 ± 0.0167
Per class
Kappa
0.7347 ± 0.0334
KB relative information score
0.488 ± 0.0208
Mean absolute error
0.2815 ± 0.0099
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.869 ± 0.0162
Per class
Predictive accuracy
0.868 ± 0.0166
Prior entropy
0.9986 ± 0.0002
Recall
0.868 ± 0.0166
Per class
Relative absolute error
0.564 ± 0.0198
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.34 ± 0.0109
Root relative squared error
0.6806 ± 0.0218
SciMark benchmark
1634.4504