OpenML
1666332

Run 1666332

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 20-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_J48(5)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.Bagging_J48(5)_P100
weka.Bagging_J48(5)_S1
weka.Bagging_J48(5)_num-slots1
weka.Bagging_J48(5)_I10
weka.Bagging_J48(5)_Wweka.classifiers.trees.J48

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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
523.6037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0378
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0756
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0673
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1346
Cross-validation details (10-fold Crossvalidation)