Run
27963

Run 27963

Task 4265 (Supervised Classification) analcatdata_dmft Uploaded 09-10-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.5311
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.1911
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0266
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
923.9313
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2722
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2774
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7970
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.1919
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.1908
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.5803
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.1908
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9813
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3724
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3979
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0683
Cross-validation details (10 times 10-fold Crossvalidation)