Run
292192

Run 292192

Task 85 (Learning Curve) nursery Uploaded 16-03-2015 by Joaquin Vanschoren
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Flow

weka.Prism(3)J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.

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
0.9849 ± 0.0029
Per class
F measure
0.9777 ± 0.0042
Per class
Kappa
0.9669 ± 0.0063
KB relative information score
0.9615 ± 0.0075
Mean absolute error
0.009 ± 0.0017
Mean prior absolute error
0.273 ± 0.0001
Number of instances
129600
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9786 ± 0.004
Per class
Predictive accuracy
0.9774 ± 0.0043
Prior entropy
1.7165 ± 0.0037
Recall
0.9774 ± 0.0043
Per class
Relative absolute error
0.0331 ± 0.0063
Root mean prior squared error
0.3695 ± 0.0001
Root mean squared error
0.0951 ± 0.0092
Root relative squared error
0.2573 ± 0.0249
SciMark benchmark
1335.2676
UserCPU time millis
900
UserCPU time millis testing
40
UserCPU time millis training
860