OpenML
1909

Run 1909

Task 1736 (Learning Curve) diabetes Uploaded 23-04-2014 by Jan van Rijn
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Flow

weka.DecisionStump(1)Weka implementation of DecisionStump

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
0.6958 ± 0.0491
Per class
F measure
0.7208 ± 0.0419
Per class
Kappa
0.3954 ± 0.0893
KB relative information score
0.1817 ± 0.0476
Mean absolute error
0.3783 ± 0.0169
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7268 ± 0.044
Per class
Predictive accuracy
0.7174 ± 0.043
Prior entropy
0.9331 ± 0.0046
Recall
0.7174 ± 0.043
Per class
Relative absolute error
0.8323 ± 0.0365
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4384 ± 0.021
Root relative squared error
0.9197 ± 0.0438
SciMark benchmark
835.5253