DEVELOPMENT... OpenML
Run
152161

Run 152161

Task 2264 (Supervised Classification) BNG(hepatitis) Uploaded 10-02-2015 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
0.935
Per class
F measure
0.8952
Per class
Kappa
0.6771
KB relative information score
571249.4937
Mean absolute error
0.1287
Mean prior absolute error
0.3293
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8943
Per class
Predictive accuracy
0.8968
Prior entropy
0.7373
Recall
0.8968
Per class
Relative absolute error
0.3909
Root mean prior squared error
0.4057
Root mean squared error
0.2784
Root relative squared error
0.6862
SciMark benchmark
943.6956
UserCPU time millis
34040
UserCPU time millis testing
4360
UserCPU time millis training
29680