Run
147868

Run 147868

Task 2078 (Supervised Classification) braziltourism Uploaded 03-02-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.6027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6725
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.8706
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1103
Cross-validation details (10-fold Crossvalidation)
Number of instances
412
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5957
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7718
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.1781
Cross-validation details (10-fold Crossvalidation)
Recall
0.7718
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9531
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2325
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2307
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9924
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.0726