Run
1688175

Run 1688175

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 23-07-2016 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_OneR(13)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.OneR(18)_B6
weka.Bagging_OneR(13)_P100
weka.Bagging_OneR(13)_S1
weka.Bagging_OneR(13)_num-slots1
weka.Bagging_OneR(13)_I10
weka.Bagging_OneR(13)_Wweka.classifiers.rules.OneR

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
0.8766
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9422
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4619
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4394.8405
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0557
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9399
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9469
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9469
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4817
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1993
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8294
Cross-validation details (10-fold Crossvalidation)