2.4.3. Highest confidence wins strategy (HCWS)
The highest confidence wins strategy is calculated as follows:
\begin{equation}
\max_{m=1}^{M}\left(p_{m,j}\right)=\max_{k=1}^{K}\left(\max_{m=1}^{M}\ \left(p_{m,j}\right)\right)\nonumber \\
\end{equation}\(p_{m,j}\) is the posterior likelihood for a given vector of predictor
values calculated for the kth target group by the mth base model. M is
the number of base models, and K is the number of target categories
(16).