DEVELOPMENT... OpenML
Run
54113

Run 54113

Task 1702 (Learning Curve) kr-vs-kp 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.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
0.7812 ± 0.0308
Per class
Build CPU time
0.0085
Build memory
2498911579.7333
F measure
0.6596 ± 0.0427
Per class
Kappa
0.3333 ± 0.0712
KB relative information score
0.361 ± 0.0447
Mean absolute error
0.3185 ± 0.0219
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6905 ± 0.0323
Per class
Predictive accuracy
0.6724 ± 0.0342
Prior entropy
0.9986 ± 0.0002
Recall
0.6724 ± 0.0342
Per class
Relative absolute error
0.6382 ± 0.0439
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.4765 ± 0.0212
Root relative squared error
0.954 ± 0.0424
SciMark benchmark
1615.5755