While traditional decision tree classifiers yield binary class labels, the alternating decision tree classifiers produce confidence measures representing the degree to which class the instance belongs to.
For binary classification, labels are then assigned to the new instance in a way that can result in four different outcomes: the instance belongs to either of the two labels, both labels simultaneously or none of the labels.
Given an unknown instance, each tree in an RF model 'votes' for the likeliest class label, with the percentage of individual trees voting for a given class representing the posterior probability that the instance belongs to that particular class.
Such a prior is called a mixture prior (Gelman et al., 1995) or a hierarchical prior (Koller and Friedman, 2009), as it assumes that the prior involves first choosing which class the instance belongs to, and then choosing the appropriate parameters for that class.
Therefore, this feedback instance belongs to the bridging quadrant, as it provides a rationale.
The prophet, for instance, belongs to these charismatic types.
A plush Hampstead house, for instance, belongs to the son of Vladimir Yakunin, the head of Russia's railways and a chum of Mr Putin's.
The boast of the novel's title, for instance, belongs to Mr Skrivánek - Ditie's mentor in the art of waiting; an art, he says, which involves a deep knowledge of human nature.
Therefore, the feedback instance belongs to the hand holding category.
The clip of the band performing "Minority" at "Sessions at AOL," for instance, belongs to AOL's parent company Time Warner.
