Run
292875

Run 292875

Task 65 (Learning Curve) arrhythmia Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 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_75, amd64, Linux, 3.16.0-29-generic]
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
1352.2566
UserCPU time millis
90
UserCPU time millis training
90