Run
155901

Run 155901

Task 2258 (Supervised Classification) BNG(dermatology) Uploaded 11-02-2015 by Joaquin Vanschoren
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Flow

weka.Vote_ZeroR(2)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_ZeroR(2)_RAVG
weka.Vote_ZeroR(2)_S1

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1422
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0928
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3046
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4359
Cross-validation details (10-fold Crossvalidation)
Recall
0.3046
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.3943
UserCPU time millis
1340
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
340
Cross-validation details (10-fold Crossvalidation)