Run
1669313

Run 1669313

Task 9977 (Supervised Classification) nomao 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_HyperPipes(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_HyperPipes(1)_P100
weka.Bagging_HyperPipes(1)_S1
weka.Bagging_HyperPipes(1)_num-slots1
weka.Bagging_HyperPipes(1)_I10
weka.Bagging_HyperPipes(1)_Wweka.classifiers.misc.HyperPipes

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
0.5175
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1427
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0047
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-13826.8459
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7328
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2926
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.2926
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2251
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1068
Cross-validation details (10-fold Crossvalidation)