DEVELOPMENT... OpenML
Run
48837

Run 48837

Task 1722 (Learning Curve) cmc Uploaded 06-11-2014 by Jason
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  • 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
0.5458 ± 0.0198
Per class
Build CPU time
0.0002
Build memory
1014379739.68
KB relative information score
0.0625 ± 0.0179
Mean absolute error
0.4091 ± 0.0086
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.427 ± 0.0033
Prior entropy
1.539 ± 0.0029
Recall
0.427 ± 0.0033
Per class
Relative absolute error
0.9495 ± 0.0202
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4523 ± 0.0043
Root relative squared error
0.9745 ± 0.0097
SciMark benchmark
1445.6628

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