DEVELOPMENT... OpenML
Run
152058

Run 152058

Task 202 (Supervised Classification) BNG(glass,nominal,137781) 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
0.8577
Per class
F measure
0.628
Per class
Kappa
0.5127
KB relative information score
64504.5464
Mean absolute error
0.1374
Mean prior absolute error
0.2115
Number of instances
137781
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6281
Per class
Predictive accuracy
0.649
Prior entropy
2.2061
Recall
0.649
Per class
Relative absolute error
0.6494
Root mean prior squared error
0.3252
Root mean squared error
0.2629
Root relative squared error
0.8083
SciMark benchmark
902.4773
UserCPU time millis
12160
UserCPU time millis testing
1670
UserCPU time millis training
10490