Run
152588

Run 152588

Task 3873 (Supervised Classification) 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
0.4882
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5686
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4252
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.4816
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.694
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.694
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4609
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0001
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.3943
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)