Run
292412

Run 292412

Task 79 (Learning Curve) mfeat-pixel Uploaded 17-03-2015 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
0.6825 ± 0.0173
Per class
F measure
0.4471 ± 0.0332
Per class
Kappa
0.3651 ± 0.0346
KB relative information score
0.4024 ± 0.0326
Mean absolute error
0.1143 ± 0.0062
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5524 ± 0.0378
Per class
Predictive accuracy
0.4286 ± 0.0311
Prior entropy
3.3219
Recall
0.4286 ± 0.0311
Per class
Relative absolute error
0.6349 ± 0.0346
Root mean prior squared error
0.3
Root mean squared error
0.3381 ± 0.0092
Root relative squared error
1.1269 ± 0.0306
SciMark benchmark
1322.5392
UserCPU time millis
9850
UserCPU time millis testing
10
UserCPU time millis training
9840