DEVELOPMENT... OpenML
Run
173211

Run 173211

Task 22 (Supervised Classification) mfeat-zernike Uploaded 21-02-2015 by Jason
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

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.

22 Evaluation measures

Area under ROC curve
0.5939
Per class
F measure
0.2595
Per class
Kappa
0.1878
KB relative information score
471.1025
Mean absolute error
0.1462
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.2627
Per class
Predictive accuracy
0.269
Prior entropy
3.3219
Recall
0.269
Per class
Relative absolute error
0.8122
Root mean prior squared error
0.3
Root mean squared error
0.3824
Root relative squared error
1.2745
SciMark benchmark
1465.2979
UserCPU time millis
30
UserCPU time millis training
30