DEVELOPMENT... OpenML
Run
462

Run 462

Task 27 (Supervised Classification) colic Uploaded 07-04-2014 by Jason
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Flow

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

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8288
Per class
F measure
0.8372
Per class
Kappa
0.6468
KB relative information score
190.4372
Mean absolute error
0.2373
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8386
Per class
Predictive accuracy
0.8397
Prior entropy
0.9509
Recall
0.8397
Per class
Relative absolute error
0.5091
Root mean prior squared error
0.4827
Root mean squared error
0.3668
Root relative squared error
0.7599
SciMark benchmark
2009.128