Run
223329

Run 223329

Task 4215 (Supervised Classification) JapaneseVowels 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
0.8448
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4023
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3386
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
5302.3532
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1954
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1962
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
99610
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
0.6588
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4171
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.1321
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4171
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9962
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3132
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.311
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9931
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
932.0242
UserCPU time millis
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)