Run
175455

Run 175455

Task 4318 (Supervised Classification) servo 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
0.8734
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9246
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7809
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1264.3882
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0737
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3533
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1670
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
0.9249
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9263
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9263
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2085
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4193
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2714
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6473
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1384.4418
UserCPU time millis training