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Exact(16)
If the estimated probability for the most probable class is greater than a pre-specified threshold τ, we return the label of the most probable class as the output from the classifier.
The algorithm ingests a sequence of classified land-cover data for a user-specified set of detectable classes, and maintains a continually updated estimate of land-cover probabilities and the most probable class at all time points along the sequence.
Finally the largest value among the found posterior probabilities reflects the most probable class for the new pattern, according to Eq. (7), where φ y) stands for the class attributed for instance y, varphi(mathbf{y} ) = mathop{mathrm{arg,max}} bigl{ P (mathbf{y}mid omega_1 ),dots, P (mathbf{y}mid omega_M )bigr} (7).
A new sample with attribute values would be classified into the most probable class based on posterior probability and computed according to the Bayes theorem [31].
On the other hand, we calculate P(F| Cmax), the probability of F, given the most probable class Cmax.
Figure 4 Certainty of allocation of WPC to most probable class.
Similar(44)
In multi-label prediction phrase, the goal is to find the most probable classes for each unlabeled node.
Finally, to classify unlabeled nodes i, we can use Eq. (6) to assign s most probable classes to it.
We assign s most probable classes to the node using these decision values, where s is equal to the number of labels assigned to the node originally.
In MEBC, we simply assign more weights on the most probable classes for correcting biases [15, 34], while in RFBC, we build a second RF model to estimate the biases generated from the original RF model.
To avoid the affection of introducing a threshold, we assign s most probable classes to a node, where s is the number of labels assigned to the node originally.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com