Run
435070

Run 435070

Task 87 (Learning Curve) optdigits 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
0.9888 ± 0.0026
Per class
F measure
0.8754 ± 0.0147
Per class
Kappa
0.8615 ± 0.0164
KB relative information score
0.8601 ± 0.0133
Mean absolute error
0.0366 ± 0.003
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8758 ± 0.0143
Per class
Predictive accuracy
0.8753 ± 0.0147
Prior entropy
3.3218 ± 0.0001
Recall
0.8753 ± 0.0147
Per class
Relative absolute error
0.2034 ± 0.0166
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1356 ± 0.0073
Root relative squared error
0.452 ± 0.0243
SciMark benchmark
941.3619
UserCPU time millis
1430
UserCPU time millis testing
60
UserCPU time millis training
1370