DEVELOPMENT... OpenML
Run
182761

Run 182761

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 25-02-2015 by Felicia West
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.4131
Per class
F measure
0.5911
Per class
KB relative information score
0.1101
Mean absolute error
0.2836
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5057
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
0.988
Root mean prior squared error
0.3755
Root mean squared error
0.3819
Root relative squared error
1.0171
SciMark benchmark
1280.6952