DEVELOPMENT... OpenML
Run
48860

Run 48860

Task 1752 (Learning Curve) vehicle 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
0.6308 ± 0.0244
Per class
Build CPU time
0.0007
Build memory
3493137813.5111
Kappa
0.1953 ± 0.0271
KB relative information score
0.1985 ± 0.0119
Mean absolute error
0.3376 ± 0.0037
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.3913 ± 0.0214
Prior entropy
1.9991 ± 0.0005
Recall
0.3913 ± 0.0214
Per class
Relative absolute error
0.9005 ± 0.0099
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4111 ± 0.0044
Root relative squared error
0.9496 ± 0.0102
SciMark benchmark
1445.6628