Run
434983

Run 434983

Task 82 (Learning Curve) cmc Uploaded 12-05-2015 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
0.4993
Per class
KB relative information score
0.0055 ± 0.0028
Mean absolute error
0.4304 ± 0.0008
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.427 ± 0.0032
Prior entropy
1.539 ± 0.0028
Recall
0.427 ± 0.0032
Per class
Relative absolute error
0.9989 ± 0.0018
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4642 ± 0.0005
Root relative squared error
1.0003 ± 0.0002
SciMark benchmark
895.2913