Run
223954

Run 223954

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.InputMappedClassifier_ZeroR(1)Weka implementation of InputMappedClassifier
weka.InputMappedClassifier_ZeroR(1)_Itrue
weka.InputMappedClassifier_ZeroR(1)_trimtrue
weka.InputMappedClassifier_ZeroR(1)_Wweka.classifiers.rules.ZeroR

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
0.4477
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9361
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-35.4966
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0839
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
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
0.916
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0002
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.6704
UserCPU time millis training