DEVELOPMENT... OpenML
Run
52285

Run 52285

Task 1735 (Learning Curve) segment 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
0.9312 ± 0.0114
Per class
Build CPU time
0.0189
Build memory
300175255.4
F measure
0.6816 ± 0.0409
Per class
Kappa
0.6434 ± 0.0463
KB relative information score
0.671 ± 0.0195
Mean absolute error
0.1094 ± 0.0049
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6833 ± 0.045
Per class
Predictive accuracy
0.6944 ± 0.0397
Prior entropy
2.8074
Recall
0.6944 ± 0.0397
Per class
Relative absolute error
0.4466 ± 0.0199
Root mean prior squared error
0.3499
Root mean squared error
0.2394 ± 0.0097
Root relative squared error
0.6841 ± 0.0277
SciMark benchmark
1653.7854