DEVELOPMENT... OpenML
Run
29070

Run 29070

Task 3892 (Supervised Classification) hiva_agnostic 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.

17 Evaluation measures

Area under ROC curve
0.7459
Per class
F measure
0.9572
Per class
Kappa
0.2366
KB relative information score
-1458.8301
Mean absolute error
0.0542
Mean prior absolute error
0.0682
Number of instances
4229
Per class
Precision
0.9577
Per class
Predictive accuracy
0.9669
Prior entropy
0.221
Recall
0.9669
Per class
Relative absolute error
0.7944
Root mean prior squared error
0.1844
Root mean squared error
0.1693
Root relative squared error
0.9185