DawidSkene model returned by the DawidSkene method
Probability that the annotator "annotator" labels an example with true class "c" as "k".
Probability that the annotator "annotator" labels an example with true class "c" as "k".
annotator of the relation
true class
labeled class
0.1
Beta parameter for each instance in the Glad model
Beta parameter for each instance in the Glad model
example
beta estimate
0.1
Glad model returned by the Glad method
Glad model returned by the Glad method
0.1
Raykar Binary model returned by the RaykarBinary method
Raykar Binary model returned by the RaykarBinary method
0.1
Raykar Continuous model returned by the RaykarCont method
Raykar Continuous model returned by the RaykarCont method
0.1
Raykar Multiclass model returned by the RaykarMulti method
Raykar Multiclass model returned by the RaykarMulti method
0.1
Given a normal probability for each N("true label",1/lambda), lambda is the parameter that represents the precision of the annotator labelling.
Given a normal probability for each N("true label",1/lambda), lambda is the parameter that represents the precision of the annotator labelling.
annotator of the relation
the precision of the annotator
0.1
DawidSkene model returned by the DawidSkene method
0.1