Run
223423

Run 223423

Task 4409 (Supervised Classification) kdd_el_nino-small 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
0.9744
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9062
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.801
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
30.8848
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4483
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4553
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7820
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
0.9211
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9043
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9348
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9043
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9844
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4771
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4498
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9427
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 training
Cross-validation details (10 times 10-fold Crossvalidation)