Run
23114

Run 23114

Task 2078 (Supervised Classification) braziltourism Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I20
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5361
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0702
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-276.2959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1831
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
0.6194
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
1.6594
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2325
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2784
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1977
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.8849[544.5646589471471991.9974325509459468.0653295378801880.56432706736421699.2325314314048]