Run
434970

Run 434970

Task 63 (Learning Curve) kr-vs-kp 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
0.9187 ± 0.0139
Per class
F measure
0.8683 ± 0.0177
Per class
Kappa
0.7359 ± 0.0354
KB relative information score
0.4859 ± 0.0228
Mean absolute error
0.2825 ± 0.0106
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8697 ± 0.0179
Per class
Predictive accuracy
0.8686 ± 0.0176
Prior entropy
0.9986 ± 0.0002
Recall
0.8686 ± 0.0176
Per class
Relative absolute error
0.566 ± 0.0213
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3402 ± 0.0122
Root relative squared error
0.6811 ± 0.0244
SciMark benchmark
941.3619
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20