Run
55114

Run 55114

Task 1742 (Learning Curve) spambase 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
0.9456 ± 0.0081
Per class
Build CPU time
0.0379
Build memory
2453628529.0857
F measure
0.8975 ± 0.0171
Per class
Kappa
0.7846 ± 0.0357
KB relative information score
0.6741 ± 0.0278
Mean absolute error
0.1656 ± 0.0121
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8975 ± 0.018
Per class
Predictive accuracy
0.8978 ± 0.0173
Prior entropy
0.9674 ± 0.0006
Recall
0.8978 ± 0.0173
Per class
Relative absolute error
0.3468 ± 0.0255
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2884 ± 0.0178
Root relative squared error
0.5902 ± 0.0365
SciMark benchmark
1634.4504