Run
26935

Run 26935

Task 1811 (Supervised Classification) tae 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
0.6823
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.5041
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.2597
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
186.5006
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3707
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
755
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Precision
0.5071
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.506
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.506
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.8342
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4643
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9851
Cross-validation details (5 times 2-fold Crossvalidation)