DEVELOPMENT... OpenML
Run
35256

Run 35256

Task 1777 (Supervised Classification) breast-cancer Uploaded 23-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I10
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.6472
Per class
Build CPU time
0.0354
Build memory
1356644632
F measure
0.6732
Per class
Kappa
0.1827
KB relative information score
156.4525
Mean absolute error
0.3651
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6803
Per class
Predictive accuracy
0.7133
Prior entropy
0.8796
Recall
0.7133
Per class
Relative absolute error
0.8728
Root mean prior squared error
0.457
Root mean squared error
0.4439
Root relative squared error
0.9714
SciMark benchmark
944.9053