Run
1816002

Run 1816002

Task 3972 (Supervised Classification) OVA_Uterus 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
0.5061
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8813
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-280.8544
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1524
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1481
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9197
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.405
Cross-validation details (10-fold Crossvalidation)
Recall
0.9197
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0002
Cross-validation details (10-fold Crossvalidation)