OpenML
291646

Run 291646

Task 80 (Learning Curve) car Uploaded 16-03-2015 by Joaquin Vanschoren
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Flow

weka.ZeroR(8)Weka implementation of ZeroR

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.

20 Evaluation measures

Area under ROC curve
0.4964
Per class
KB relative information score
0 ± 0.0005
Mean absolute error
0.229 ± 0.0006
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7002 ± 0.0022
Prior entropy
1.2058 ± 0.0089
Recall
0.7002 ± 0.0022
Per class
Relative absolute error
1.0002 ± 0.0003
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.3381 ± 0.001
Root relative squared error
1 ± 0
SciMark benchmark
1347.2843