Run
422376

Run 422376

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 08-05-2015 by Joaquin Vanschoren
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)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(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.5
Per class
Cross-validation details (33% Holdout set)
F measure
0.246
Per class
Cross-validation details (33% Holdout set)
KB relative information score
-2.6664
Cross-validation details (33% Holdout set)
Mean absolute error
0.5018
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4967
Cross-validation details (33% Holdout set)
Number of instances
182
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1744
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4176
Cross-validation details (33% Holdout set)
Prior entropy
0.9989
Cross-validation details (33% Holdout set)
Recall
0.4176
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0101
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4971
Cross-validation details (33% Holdout set)
Root mean squared error
0.5019
Cross-validation details (33% Holdout set)
Root relative squared error
1.0096
Cross-validation details (33% Holdout set)
SciMark benchmark
936.1714