DEVELOPMENT... OpenML
Run
52277

Run 52277

Task 1713 (Learning Curve) mfeat-fourier Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.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
0.7475 ± 0.0291
Per class
Build CPU time
0.0808
Build memory
848514891.1273
F measure
0.3636 ± 0.0301
Per class
Kappa
0.3233 ± 0.033
KB relative information score
0.3954 ± 0.0268
Mean absolute error
0.1276 ± 0.0039
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.3574 ± 0.0355
Per class
Predictive accuracy
0.391 ± 0.0297
Prior entropy
3.3219
Recall
0.391 ± 0.0297
Per class
Relative absolute error
0.7091 ± 0.0217
Root mean prior squared error
0.3
Root mean squared error
0.2933 ± 0.0092
Root relative squared error
0.9778 ± 0.0307
SciMark benchmark
1853.1129