Run
152159

Run 152159

Task 2257 (Supervised Classification) BNG(cylinder-bands) Uploaded 10-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)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(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5331
Cross-validation details (10-fold Crossvalidation)
KB relative information score
425944.5945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2893
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4878
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7731
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9823
Cross-validation details (10-fold Crossvalidation)
Recall
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5931
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3942
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7983
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.32
UserCPU time millis
60170
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
7560
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
52610
Cross-validation details (10-fold Crossvalidation)