3.3.8. Step eight:
The two vectors in (\ref{346706}) are stacked and then flattened to a vector \(O_{img}\) of size \(1\times6\).
3.3.9. Step nine:
A vector \(v\) of size \(P_{bp\_a}\) is created with a size \(k\), where \(k\) is equal to the number of classes in __ds in (\ref{662612}).
3.3.10. Step ten:
A similarity check between \(O_{img}\) in (\ref{385470}) and every observation in the subset of the individual traits in (\ref{662612}) is performed, in every match of similarity, the corresponding index of \(b_{bp\_a}\) in (\ref{642652}) increases by 1.
3.3.11. Step eleven:
The maximum value index in \(P_{bp\_a}\) in (\ref{642652}) is predicted as the class.
Fig. (\ref{787371}) illustrates steps eight to eleven, outlined above, using the showcase example in (\ref{993524}).