DEVELOPMENT... OpenML
Run
152128

Run 152128

Task 2142 (Supervised Classification) BNG(breast-w) Uploaded 09-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9977
Per class
F measure
0.9796
Per class
Kappa
0.9548
KB relative information score
37102.9353
Mean absolute error
0.0265
Mean prior absolute error
0.4514
Number of instances
39366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9796
Per class
Predictive accuracy
0.9796
Prior entropy
0.9287
Recall
0.9796
Per class
Relative absolute error
0.0587
Root mean prior squared error
0.4751
Root mean squared error
0.1253
Root relative squared error
0.2638
SciMark benchmark
923.3111
UserCPU time millis
840
UserCPU time millis testing
100
UserCPU time millis training
740