Run
5856

Run 5856

Task 116 (Learning Curve) ionosphere Uploaded 07-05-2014 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
0.7248 ± 0.0664
Per class
F measure
0.8049 ± 0.0622
Per class
Kappa
0.5685 ± 0.1329
KB relative information score
0.4347 ± 0.0886
Mean absolute error
0.2742 ± 0.0366
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8558 ± 0.0397
Per class
Predictive accuracy
0.8222 ± 0.049
Prior entropy
0.9418 ± 0.0113
Recall
0.8222 ± 0.049
Per class
Relative absolute error
0.5954 ± 0.0797
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3751 ± 0.0426
Root relative squared error
0.782 ± 0.0886
SciMark benchmark
858.0619