DEVELOPMENT... OpenML
Run
152083

Run 152083

Task 215 (Supervised Classification) BNG(ionosphere) 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
0.9649
Per class
F measure
0.9143
Per class
Kappa
0.8133
KB relative information score
757564.0983
Mean absolute error
0.1154
Mean prior absolute error
0.4602
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
0.9142
Per class
Predictive accuracy
0.9145
Prior entropy
0.9418
Recall
0.9145
Per class
Relative absolute error
0.2508
Root mean prior squared error
0.4797
Root mean squared error
0.2552
Root relative squared error
0.532
SciMark benchmark
902.4773
UserCPU time millis
36620
UserCPU time millis testing
6080
UserCPU time millis training
30540