Run
174783

Run 174783

Task 2933 (Supervised Classification) solar-flare Uploaded 21-02-2015 by Jan van Rijn
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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
0.4987
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9917
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.003
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-1532.0955
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0048
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9906
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9928
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9928
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6456
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0694
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2431
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1466.6185
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)