DEVELOPMENT... OpenML
Run
33357

Run 33357

Task 3915 (Supervised Classification) kc3 Uploaded 14-10-2014 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
0.8152
Per class
Build CPU time
5.755
Build memory
1100757898.1485
F measure
0.8655
Per class
Kappa
0.0552
KB relative information score
-38.7408
Mean absolute error
0.1401
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8506
Per class
Predictive accuracy
0.8996
Prior entropy
0.4551
Recall
0.8996
Per class
Relative absolute error
0.8167
Root mean prior squared error
0.2917
Root mean squared error
0.2729
Root relative squared error
0.9355
SciMark benchmark
943.4157