class |
ExcessCriterion |
The E/Excess criterion is a prior efficiency measure based on how much the
size of the label set exceeds 1.
|
class |
MultipleCriterion |
The M/Multiple criterion is a prior efficiency measure based on the size of
the label set.
|
class |
NumberCriterion |
The N/Number/AvgC criterion is a prior efficiency measure based on the size
of the label set.
|
class |
ObservedAccuracy |
The Observed Accuracy is the fraction of predictions that include the
true label in their label set.
|
class |
ObservedExcessCriterion |
The OE/Observed Excess criterion is an observed efficiency measure based on
the number of false labels in the label set.
|
class |
ObservedMultipleCriterion |
The OM/Observed Multiple criterion is an observed efficiency measure based on
the number of false labels in the label set.
|
class |
ObservedOneCCriterion |
The Observed OneC criterion is the fraction of predictions that only have
the true label in their label set.
|
class |
OneCCriterion |
The OneC is the fraction of predictions that only have one label in their
label set.
|