Run
296961

Run 296961

Task 96 (Learning Curve) diabetes Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.ConjunctiveRule(3)Weka implementation of ConjunctiveRule
weka.ConjunctiveRule(3)_N3
weka.ConjunctiveRule(3)_M2.0
weka.ConjunctiveRule(3)_P-1
weka.ConjunctiveRule(3)_S1

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.

22 Evaluation measures

Area under ROC curve
0.707 ± 0.0666
Per class
F measure
0.7 ± 0.0531
Per class
Kappa
0.3287 ± 0.1628
KB relative information score
0.1696 ± 0.0657
Mean absolute error
0.3817 ± 0.0237
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6982 ± 0.0535
Per class
Predictive accuracy
0.7078 ± 0.0504
Prior entropy
0.9331 ± 0.0044
Recall
0.7078 ± 0.0504
Per class
Relative absolute error
0.8398 ± 0.0522
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.445 ± 0.025
Root relative squared error
0.9335 ± 0.0524
SciMark benchmark
1344.4203
UserCPU time millis
10
UserCPU time millis training
10