Run
223543

Run 223543

Task 4597 (Supervised Classification) hiva_agnostic 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
0.5393
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9475
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0011
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-678965.6946
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0682
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
42290
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
0.9378
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9647
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.221
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9647
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
7.332
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1844
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
2.7117
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
916.6405
UserCPU time millis
200
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
130
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10 times 10-fold Crossvalidation)