Run
434987

Run 434987

Task 79 (Learning Curve) mfeat-pixel 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
0.8859 ± 0.0154
Per class
F measure
0.4693 ± 0.0505
Per class
Kappa
0.4355 ± 0.0513
KB relative information score
0.4281 ± 0.0143
Mean absolute error
0.1406 ± 0.0019
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5472 ± 0.0556
Per class
Predictive accuracy
0.492 ± 0.0462
Prior entropy
3.3219
Recall
0.492 ± 0.0462
Per class
Relative absolute error
0.781 ± 0.0103
Root mean prior squared error
0.3
Root mean squared error
0.2577 ± 0.0036
Root relative squared error
0.8589 ± 0.0119
SciMark benchmark
903.7946
UserCPU time millis
280
UserCPU time millis testing
10
UserCPU time millis training
270