Run
223004

Run 223004

Task 3032 (Supervised Classification) Australian Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.5558
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.2811
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.0001
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-109.1886
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6900
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5038
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4457
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4457
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0102
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0042
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
932.0242
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)