DEVELOPMENT... OpenML
Run
150131

Run 150131

Task 3705 (Supervised Classification) autoHorse 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
0.4441
Per class
KB relative information score
30.0623
Mean absolute error
0.4049
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3542
Per class
Predictive accuracy
0.5951
Prior entropy
0.9742
Recall
0.5951
Per class
Relative absolute error
0.8399
Root mean prior squared error
0.4909
Root mean squared error
0.6363
Root relative squared error
1.2963
SciMark benchmark
933.8635