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7CCSMAMS: Agents & Multi-Agent Systems Argumentation 1 Some slides adapted from slides made available by M. Wooldridge, S. Parsons & T. Payne http://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/imas/IMAS2e 1 Motivating example: Ambulance dispatch decisions When an emergency call is received, there is a decision about what to dispatch and with what priority Different people have different facts, expertise and opinions

Classifier Calibration¶ Many classifiers, including random forest classifiers, can return prediction probabilities, which can be interpreted as the probability that a given prediction point falls into a given class (i.e., given the data X and a candidate class c, the prediction probability states P(Y=c|X)). However, when the classes in the training data are unbalanced, as