DEVELOPMENT... OpenML
Run
93502

Run 93502

Task 264 (Supervised Classification) postoperative-patient-data 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
0.5149
Per class
Build memory
615708600
F measure
0.6356
Per class
Kappa
0.0369
KB relative information score
4.9382
Mean absolute error
0.2069
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6211
Per class
Predictive accuracy
0.6897
Prior entropy
1.0305
Recall
0.6897
Per class
Relative absolute error
0.7394
Root mean prior squared error
0.3657
Root mean squared error
0.4549
Root relative squared error
1.2437
SciMark benchmark
946.5615