The option of adding an already trained model will just ensure that the model will train from those hyper parameters?

@CarlosMougan I've added details with multi:softprob. The example you gave is an extreme situation where you have the probability of Corona at 0.8. What happens when the probabilities are Corona [0.4] Sars [0.1] HIV [0.01] Not sick [0.49] or Corona [0.31] Sars [0.3] HIV [0.29] Not sick [0.1]. At this point, which probability should take? Do you take the max of the diseases to get riskiest patients or max of all? If you take max of all, won't the healthy patients have a bias?

The probabilities of each class should add up to one right? So the above values should not occur.