Run
147

Run 147

Task 65 (Learning Curve) arrhythmia Uploaded 07-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.7742 ± 0.0587
Per class
Kappa
0.4736 ± 0.1028
KB relative information score
0.4044 ± 0.0764
Mean absolute error
0.0566 ± 0.006
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.6692 ± 0.0628
Prior entropy
2.4124 ± 0.056
Recall
0.6692 ± 0.0628
Per class
Relative absolute error
0.6619 ± 0.0698
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.1801 ± 0.0148
Root relative squared error
0.8762 ± 0.0709
SciMark benchmark
1947.499