DEVELOPMENT... OpenML
Run
152061

Run 152061

Task 206 (Supervised Classification) BNG(tic-tac-toe) 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
0.7513
Per class
F measure
0.708
Per class
Kappa
0.3411
KB relative information score
8297.6311
Mean absolute error
0.3611
Mean prior absolute error
0.4532
Number of instances
39366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7107
Per class
Predictive accuracy
0.7217
Prior entropy
0.9315
Recall
0.7217
Per class
Relative absolute error
0.7968
Root mean prior squared error
0.476
Root mean squared error
0.4313
Root relative squared error
0.9059
SciMark benchmark
902.4773
UserCPU time millis
540
UserCPU time millis testing
60
UserCPU time millis training
480