DEVELOPMENT... OpenML
Run
48843

Run 48843

Task 1727 (Learning Curve) optdigits Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.DecisionStump(2)Weka implementation of 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.

19 Evaluation measures

Area under ROC curve
0.6775 ± 0.0087
Per class
Build CPU time
0.0088
Build memory
1236441008.5143
Kappa
0.1084 ± 0.0023
KB relative information score
0.1932 ± 0.002
Mean absolute error
0.1688 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1975 ± 0.0019
Prior entropy
3.3218 ± 0.0001
Recall
0.1975 ± 0.0019
Per class
Relative absolute error
0.9378 ± 0.0013
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2905 ± 0.0005
Root relative squared error
0.9684 ± 0.0016
SciMark benchmark
1627.4256