Run
1815977

Run 1815977

Task 3531 (Supervised Classification) la1s.wc Uploaded 09-09-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8949
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1681.4646
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1501
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Number of instances
3204
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6889
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6813
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4437
Cross-validation details (10-fold Crossvalidation)
Recall
0.6813
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5632
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2736
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7496
Cross-validation details (10-fold Crossvalidation)