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Run
13737

Run 13737

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I60
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9648
Per class
F measure
0.9163
Per class
Kappa
0.8163
KB relative information score
247.1265
Mean absolute error
0.1471
Mean prior absolute error
0.4604
Number of instances
351
Per class
Precision
0.918
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.3195
Root mean prior squared error
0.4797
Root mean squared error
0.2557
Root relative squared error
0.533