Run
264311

Run 264311

Task 3586 (Supervised Classification) abalone Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4441
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1854.9568
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.278
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7221
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.722
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5559
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5272
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0544
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1316.8289
UserCPU time millis
2630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2630
Cross-validation details (10-fold Crossvalidation)