DEVELOPMENT... OpenML
Run
29499

Run 29499

Task 1937 (Supervised Classification) ionosphere Uploaded 12-10-2014 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
0.9705
Per class
Build CPU time
0.4662
Build memory
1239203550.3635
F measure
0.9275
Per class
Kappa
0.8406
KB relative information score
2663.2975
Mean absolute error
0.1178
Mean prior absolute error
0.4604
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9311
Per class
Predictive accuracy
0.9288
Prior entropy
0.9425
Recall
0.9288
Per class
Relative absolute error
0.2558
Root mean prior squared error
0.4797
Root mean squared error
0.2371
Root relative squared error
0.4943
SciMark benchmark
949.3436