OpenML
669

Run 669

Task 65 (Learning Curve) arrhythmia Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.RandomTree(1)Weka implementation of RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.6432 ± 0.0524
Per class
F measure
0.5159 ± 0.0595
Per class
Kappa
0.2764 ± 0.0913
KB relative information score
0.2854 ± 0.0776
Mean absolute error
0.0602 ± 0.0079
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.5145 ± 0.0596
Per class
Predictive accuracy
0.5186 ± 0.0632
Prior entropy
2.4124 ± 0.056
Recall
0.5186 ± 0.0632
Per class
Relative absolute error
0.7037 ± 0.0914
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.2451 ± 0.0162
Root relative squared error
1.1927 ± 0.0778
SciMark benchmark
890.2509