DEVELOPMENT... OpenML
Run
48846

Run 48846

Task 1730 (Learning Curve) credit-g 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
0.6478 ± 0.0452
Per class
Build CPU time
0.0004
Build memory
1261531565.8667
KB relative information score
0.061 ± 0.0367
Mean absolute error
0.3766 ± 0.0115
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7
Prior entropy
0.8813
Recall
0.7
Per class
Relative absolute error
0.8963 ± 0.0273
Root mean prior squared error
0.4583
Root mean squared error
0.4342 ± 0.0135
Root relative squared error
0.9475 ± 0.0295
SciMark benchmark
1445.6628