DEVELOPMENT... OpenML
Run
29011

Run 29011

Task 57 (Supervised Classification) ionosphere Uploaded 10-10-2014 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)_I40
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
0.9745
Per class
Build CPU time
0.4136
Build memory
2123338623.0199
F measure
0.9159
Per class
Kappa
0.815
KB relative information score
263.1119
Mean absolute error
0.1202
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
0.9193
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.2611
Root mean prior squared error
0.4797
Root mean squared error
0.2478
Root relative squared error
0.5167
SciMark benchmark
936.5204