Run
1816056

Run 1816056

Task 3534 (Supervised Classification) ohscal.wc Uploaded 10-09-2016 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
0.9449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7186
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7468.9224
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0765
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7216
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.718
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.718
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4282
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1995
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6674
Cross-validation details (10-fold Crossvalidation)