calculate the posterior probability of an event occuring given that some other event has occured from the likelihood, prior probability, and normalizing constant (evidence) of those events.

Naive bayes classifiers work with Bayes’ Theorem. Where we can calculate the posterior probability of an event occuring given that some other event has occured from the likelihood, prior probability, and normalizing constant (evidence) of those events. Bayes’ theorem Before constructing any model, let’s begin by opening the data file provided to you in the instructions to familiarize ourselves with the data we are going to be working with. The class label in our datasets will always be the left most column, in this case play. 1. What are the features that are

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Assess why it has proven so difficult to design an operating procedure which allows the European Court to effectively manage its case load.

‘The results so far achieved within the framework of Protocol No. 14 are encouraging, particularly as a result of the measures taken by the Court to increase efficiency and address….

Evaluate whether the operation of human rights under the ECHR really does force public authorities to ‘act in ways that fly in the face of common sense’?

‘[I]n this country we are proud to stand up for human rights, at home and abroad. It is part of the British tradition. But what is alien to our tradition….