Run
1816050

Run 1816050

Task 14970 (Supervised Classification) har 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
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9236
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9082
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9285.037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0372
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2771
Cross-validation details (10-fold Crossvalidation)
Number of instances
10299
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9236
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9237
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5759
Cross-validation details (10-fold Crossvalidation)
Recall
0.9237
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3722
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1401
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3765
Cross-validation details (10-fold Crossvalidation)