OpenML
291661

Run 291661

Task 97 (Learning Curve) ecoli 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
0.4704
Per class
KB relative information score
0.0006 ± 0.0009
Mean absolute error
0.1829 ± 0.0011
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.4256 ± 0.0145
Prior entropy
2.1906 ± 0.0868
Recall
0.4256 ± 0.0145
Per class
Relative absolute error
1.0007 ± 0.0007
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.3017 ± 0.0021
Root relative squared error
1.0002 ± 0.0001
SciMark benchmark
1347.2843