DEVELOPMENT... OpenML
Run
151968

Run 151968

Task 36 (Supervised Classification) segment Uploaded 09-02-2015 by Felicia West
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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
0.9793
Per class
F measure
0.8776
Per class
Kappa
0.8586
KB relative information score
1836.5957
Mean absolute error
0.075
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8783
Per class
Predictive accuracy
0.8788
Prior entropy
2.8074
Recall
0.8788
Per class
Relative absolute error
0.3063
Root mean prior squared error
0.3499
Root mean squared error
0.1675
Root relative squared error
0.4787
SciMark benchmark
938.9865
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80