DEVELOPMENT... OpenML
Run
150152

Run 150152

Task 3722 (Supervised Classification) hungarian Uploaded 08-02-2015 by Felicia West
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Flow

weka.Grading_ZeroR(1)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(1)_Mtrue
weka.Grading_ZeroR(1)_X10
weka.Grading_ZeroR(1)_S1
weka.Grading_ZeroR(1)_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
F measure
0.4988
Per class
KB relative information score
56.2249
Mean absolute error
0.3605
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4089
Per class
Predictive accuracy
0.6395
Prior entropy
0.9439
Recall
0.6395
Per class
Relative absolute error
0.7815
Root mean prior squared error
0.4802
Root mean squared error
0.6005
Root relative squared error
1.2505
SciMark benchmark
901.0726