Run
1816047

Run 1816047

Task 14967 (Supervised Classification) cjs Uploaded 09-09-2016 by Jan van Rijn
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(4)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(4)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(4)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_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.

17 Evaluation measures

Area under ROC curve
0.8795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6345
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5355
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1302.8994
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1638
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2729
Cross-validation details (10-fold Crossvalidation)
Number of instances
2796
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7585
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6277
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.6277
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3694
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2733
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.74
Cross-validation details (10-fold Crossvalidation)