Run
434995

Run 434995

Task 89 (Learning Curve) page-blocks Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)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(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.9733 ± 0.0104
Per class
F measure
0.9537 ± 0.0087
Per class
Kappa
0.7537 ± 0.0487
KB relative information score
0.6579 ± 0.0511
Mean absolute error
0.0245 ± 0.0034
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9525 ± 0.0088
Per class
Predictive accuracy
0.9556 ± 0.0082
Prior entropy
0.6355 ± 0.0053
Recall
0.9556 ± 0.0082
Per class
Relative absolute error
0.3214 ± 0.0445
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1166 ± 0.0098
Root relative squared error
0.5985 ± 0.0502
SciMark benchmark
895.2913
UserCPU time millis
230
UserCPU time millis testing
10
UserCPU time millis training
220