Run
55111

Run 55111

Task 1735 (Learning Curve) segment 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
0.98 ± 0.0071
Per class
Build CPU time
0.0166
Build memory
3478019611
F measure
0.8835 ± 0.0206
Per class
Kappa
0.8636 ± 0.0236
KB relative information score
0.8044 ± 0.0154
Mean absolute error
0.073 ± 0.0038
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8882 ± 0.0234
Per class
Predictive accuracy
0.8831 ± 0.0202
Prior entropy
2.8074
Recall
0.8831 ± 0.0202
Per class
Relative absolute error
0.298 ± 0.0157
Root mean prior squared error
0.3499
Root mean squared error
0.1648 ± 0.0089
Root relative squared error
0.4709 ± 0.0256
SciMark benchmark
1634.4504