Run
1810406

Run 1810406

Task 10093 (Supervised Classification) banknote-authentication Uploaded 27-07-2016 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.AdaBoostM1_REPTree(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AdaBoostM1_REPTree(4)_P100
weka.AdaBoostM1_REPTree(4)_S1
weka.AdaBoostM1_REPTree(4)_I10
weka.AdaBoostM1_REPTree(4)_Wweka.classifiers.trees.REPTree

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
0.9992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9964
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9926
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1359.4212
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0046
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9964
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9964
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.9964
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0093
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.063
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1268
Cross-validation details (10-fold Crossvalidation)