Run
29032

Run 29032

Task 4412 (Supervised Classification) analcatdata_runshoes Uploaded 10-10-2014 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)_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
0.7495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7354
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4468
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
157.3576
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.366
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4806
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
600
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.7348
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7367
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9728
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7367
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7615
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4899
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4434
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.905
Cross-validation details (10 times 10-fold Crossvalidation)