Run
53379

Run 53379

Task 1757 (Learning Curve) waveform-5000 Uploaded 08-11-2014 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
0.9461 ± 0.0082
Per class
Build CPU time
0.0369
Build memory
1385115802.8
F measure
0.8169 ± 0.0162
Per class
Kappa
0.7258 ± 0.0241
KB relative information score
0.6882 ± 0.0209
Mean absolute error
0.1639 ± 0.0102
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8173 ± 0.0162
Per class
Predictive accuracy
0.8172 ± 0.0161
Prior entropy
1.5849 ± 0
Recall
0.8172 ± 0.0161
Per class
Relative absolute error
0.3687 ± 0.0229
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.2952 ± 0.0131
Root relative squared error
0.6261 ± 0.0277
SciMark benchmark
1132.5492