Run
869

Run 869

Task 96 (Learning Curve) diabetes Uploaded 08-04-2014 by Jan van Rijn
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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
0.7724 ± 0.0566
Per class
F measure
0.7433 ± 0.0523
Per class
Kappa
0.4291 ± 0.1123
KB relative information score
0.3021 ± 0.0827
Mean absolute error
0.3211 ± 0.0333
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7418 ± 0.0523
Per class
Predictive accuracy
0.7466 ± 0.0528
Prior entropy
0.9331 ± 0.0044
Recall
0.7466 ± 0.0528
Per class
Relative absolute error
0.7064 ± 0.0734
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4285 ± 0.0348
Root relative squared error
0.899 ± 0.0733
SciMark benchmark
882.8536