Run
296952

Run 296952

Task 88 (Learning Curve) credit-approval 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
0.8539 ± 0.0334
Per class
F measure
0.8554 ± 0.0349
Per class
Kappa
0.7116 ± 0.068
KB relative information score
0.5541 ± 0.0533
Mean absolute error
0.2393 ± 0.0242
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8663 ± 0.0318
Per class
Predictive accuracy
0.8551 ± 0.0348
Prior entropy
0.9912 ± 0.0021
Recall
0.8551 ± 0.0348
Per class
Relative absolute error
0.4845 ± 0.049
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3454 ± 0.0334
Root relative squared error
0.695 ± 0.0673
SciMark benchmark
1383.5029