DEVELOPMENT... OpenML
Run
33566

Run 33566

Task 1922 (Supervised Classification) haberman Uploaded 15-10-2014 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)_I160
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
0.6719
Per class
Build CPU time
0.9777
Build memory
1610516544.9124
F measure
0.6855
Per class
Kappa
0.1436
KB relative information score
221.8222
Mean absolute error
0.3504
Mean prior absolute error
0.39
Number of instances
3060
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6808
Per class
Predictive accuracy
0.7248
Prior entropy
0.836
Recall
0.7248
Per class
Relative absolute error
0.8984
Root mean prior squared error
0.4412
Root mean squared error
0.4277
Root relative squared error
0.9695
SciMark benchmark
943.3781