DEVELOPMENT... OpenML
Run
93645

Run 93645

Task 284 (Supervised Classification) hepatitis Uploaded 08-12-2014 by Felicia West
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_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.

21 Evaluation measures

Area under ROC curve
0.6134
Per class
Build CPU time
0.001
Build memory
141801824
F measure
0.7176
Per class
Kappa
0.2388
KB relative information score
7.98
Mean absolute error
0.2745
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7119
Per class
Predictive accuracy
0.7255
Prior entropy
0.7418
Recall
0.7255
Per class
Relative absolute error
0.7669
Root mean prior squared error
0.4381
Root mean squared error
0.5239
Root relative squared error
1.1959
SciMark benchmark
927.6633