Run
1688186

Run 1688186

Task 3902 (Supervised Classification) pc4 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
0.6823
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8337
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0763
Cross-validation details (10-fold Crossvalidation)
KB relative information score
277.2201
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.137
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8834
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.8834
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3185
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.973
Cross-validation details (10-fold Crossvalidation)