DEVELOPMENT... OpenML
Run
152827

Run 152827

Task 3947 (Supervised Classification) KDDCup99 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
0.9992
Per class
F measure
0.9964
Per class
Kappa
0.9946
KB relative information score
486435.1039
Mean absolute error
0.0003
Mean prior absolute error
0.0514
Number of instances
494020
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9964
Per class
Predictive accuracy
0.9968
Prior entropy
1.5581
Recall
0.9968
Per class
Relative absolute error
0.0055
Root mean prior squared error
0.1603
Root mean squared error
0.0162
Root relative squared error
0.1009
SciMark benchmark
929.566
UserCPU time millis
518120
UserCPU time millis testing
42070
UserCPU time millis training
476050