Run
437875

Run 437875

Task 7535 (Learning Curve) monks-problems-2 Uploaded 13-05-2015 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(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.

20 Evaluation measures

Area under ROC curve
0.491
Per class
KB relative information score
-0.0004 ± 0.0011
Mean absolute error
0.4507 ± 0.0023
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.6572 ± 0.0083
Prior entropy
0.9274 ± 0.0078
Recall
0.6572 ± 0.0083
Per class
Relative absolute error
1.0001 ± 0.0007
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4746 ± 0.0027
Root relative squared error
1 ± 0
SciMark benchmark
913.9348