DEVELOPMENT... OpenML
Run
27262

Run 27262

Task 57 (Supervised Classification) ionosphere Uploaded 08-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I20
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9727
Per class
Build CPU time
0.2101
Build memory
331292120.9801
F measure
0.9103
Per class
Kappa
0.8029
KB relative information score
260.696
Mean absolute error
0.1228
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9127
Per class
Predictive accuracy
0.9117
Prior entropy
0.9425
Recall
0.9117
Per class
Relative absolute error
0.2667
Root mean prior squared error
0.4797
Root mean squared error
0.253
Root relative squared error
0.5273
SciMark benchmark
920.1098