DEVELOPMENT... OpenML
Run
52276

Run 52276

Task 1714 (Learning Curve) breast-w Uploaded 07-11-2014 by Felicia West
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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
0.9793 ± 0.0138
Per class
Build CPU time
0.0044
Build memory
1020131034.6
F measure
0.9365 ± 0.0272
Per class
Kappa
0.8585 ± 0.0615
KB relative information score
0.8205 ± 0.048
Mean absolute error
0.0824 ± 0.0208
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9371 ± 0.0249
Per class
Predictive accuracy
0.9371 ± 0.0262
Prior entropy
0.9293 ± 0.0043
Recall
0.9371 ± 0.0262
Per class
Relative absolute error
0.1823 ± 0.0459
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2202 ± 0.0457
Root relative squared error
0.4633 ± 0.0956
SciMark benchmark
946.7958