DEVELOPMENT... OpenML
Run
53353

Run 53353

Task 1721 (Learning Curve) mfeat-zernike Uploaded 08-11-2014 by Jason
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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
0.8557 ± 0.0156
Per class
Build CPU time
0.0046
Build memory
3814930822.1091
F measure
0.5126 ± 0.0315
Per class
Kappa
0.4883 ± 0.036
KB relative information score
0.4293 ± 0.0212
Mean absolute error
0.1316 ± 0.0029
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
0.5134 ± 0.0322
Per class
Predictive accuracy
0.5395 ± 0.0324
Prior entropy
3.3219
Recall
0.5395 ± 0.0324
Per class
Relative absolute error
0.7313 ± 0.016
Root mean prior squared error
0.3
Root mean squared error
0.2509 ± 0.0052
Root relative squared error
0.8364 ± 0.0172
SciMark benchmark
1206.3605