Run
414924

Run 414924

Task 3814 (Supervised Classification) arsenic-male-lung Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.Grading_ZeroR(2)A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.
weka.Grading_ZeroR(2)_Mtrue
weka.Grading_ZeroR(2)_X10
weka.Grading_ZeroR(2)_S1
weka.Grading_ZeroR(2)_num-slots1

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
0.9653
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
115.3814
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0233
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0471
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
0.954
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1684
Cross-validation details (10-fold Crossvalidation)
Recall
0.9767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1507
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1525
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0118
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.3115