DEVELOPMENT... OpenML
Run
47213

Run 47213

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 05-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.7384 ± 0.0233
Per class
Build CPU time
0.0811
Build memory
1300255761.2364
F measure
0.2891 ± 0.0253
Per class
Kappa
0.2256 ± 0.0293
KB relative information score
0.3476 ± 0.0289
Mean absolute error
0.1402 ± 0.0044
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
0.2889 ± 0.0331
Per class
Predictive accuracy
0.303 ± 0.0264
Prior entropy
3.3219
Recall
0.303 ± 0.0264
Per class
Relative absolute error
0.7787 ± 0.0244
Root mean prior squared error
0.3
Root mean squared error
0.302 ± 0.008
Root relative squared error
1.0067 ± 0.0267
SciMark benchmark
1445.6628