Run
152167

Run 152167

Task 2258 (Supervised Classification) BNG(dermatology) Uploaded 10-02-2015 by Joaquin Vanschoren
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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
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9697
Cross-validation details (10-fold Crossvalidation)
KB relative information score
970130.1987
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0099
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
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
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9757
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4359
Cross-validation details (10-fold Crossvalidation)
Recall
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.037
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0789
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.3943
UserCPU time millis
97780
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
11120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
86660
Cross-validation details (10-fold Crossvalidation)