DEVELOPMENT... OpenML
Run
15316

Run 15316

Task 66 (Learning Curve) audiology Uploaded 03-06-2014 by Mandy
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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.

17 Evaluation measures

Area under ROC curve
0.9097 ± 0.0329
Per class
Kappa
0.6803 ± 0.086
KB relative information score
0.6654 ± 0.074
Mean absolute error
0.0303 ± 0.005
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.7279 ± 0.0741
Prior entropy
3.4373 ± 0.1528
Recall
0.7279 ± 0.0741
Per class
Relative absolute error
0.4191 ± 0.068
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.132 ± 0.0166
Root relative squared error
0.6972 ± 0.0865
SciMark benchmark
871.0933

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