Run
13737

Run 13737

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.9163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8163
Cross-validation details (10-fold Crossvalidation)
KB relative information score
247.1265
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1471
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.918
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9174
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9174
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.533
Cross-validation details (10-fold Crossvalidation)