Run
435098

Run 435098

Task 91 (Learning Curve) pendigits 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
0.9912 ± 0.0018
Per class
F measure
0.897 ± 0.0117
Per class
Kappa
0.8856 ± 0.0129
KB relative information score
0.8849 ± 0.0134
Mean absolute error
0.0306 ± 0.004
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8969 ± 0.0115
Per class
Predictive accuracy
0.8971 ± 0.0116
Prior entropy
3.3208 ± 0.0002
Recall
0.8971 ± 0.0116
Per class
Relative absolute error
0.17 ± 0.0221
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1245 ± 0.0063
Root relative squared error
0.4151 ± 0.0212
SciMark benchmark
903.7946
UserCPU time millis
1740
UserCPU time millis testing
140
UserCPU time millis training
1600