6.3. Consider the concept learning algorithm Find G, which outputs a maximally general consistent hypothesis (e.g., some maximally general member of the version space). (a) Give a distribution for P(h) and P(D|h) under which FindG is guaranteed to output a MAP hypothesis. (b) Give a distribution for P(h) and P(D|h) under which FindG is not guaranteed to output a MAР Һурothesis. (c) Give a distribution for P(h) and P(D|h) under which FindG is guaranteed to output a ML hypothesis but not a MAP hypothesis.

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Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.