Run
264012

Run 264012

Task 4291 (Supervised Classification) abalone Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.7341
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7022
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.422
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
4293.9654
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4548
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
41770
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
0.7387
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7107
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7107
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9096
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4697
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9394
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
898.1296
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)