Run
53350

Run 53350

Task 1719 (Learning Curve) mfeat-pixel 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
0.8817 ± 0.0203
Per class
Build CPU time
0.0066
Build memory
1420414107.7818
F measure
0.4753 ± 0.0467
Per class
Kappa
0.435 ± 0.0564
KB relative information score
0.4248 ± 0.0181
Mean absolute error
0.1411 ± 0.0025
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.559 ± 0.0586
Per class
Predictive accuracy
0.4915 ± 0.0508
Prior entropy
3.3219
Recall
0.4915 ± 0.0508
Per class
Relative absolute error
0.7839 ± 0.0137
Root mean prior squared error
0.3
Root mean squared error
0.2587 ± 0.0049
Root relative squared error
0.8622 ± 0.0164
SciMark benchmark
1132.5492