Run
27080

Run 27080

Task 287 (Supervised Classification) ionosphere Uploaded 08-10-2014 by Joaquin Vanschoren
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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.

17 Evaluation measures

Area under ROC curve
0.9708
Per class
Cross-validation details (33% Holdout set)
F measure
0.9466
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8791
Cross-validation details (33% Holdout set)
KB relative information score
86.3647
Cross-validation details (33% Holdout set)
Mean absolute error
0.1167
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
Precision
0.9516
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9478
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9478
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2565
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2271
Cross-validation details (33% Holdout set)
Root relative squared error
0.4792
Cross-validation details (33% Holdout set)