dekker.one
Group work for a Monash Research Methods course
Naive Bayes description
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mini_proj/report/waldo.tex
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mini_proj/report/waldo.tex
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\paragraph{Naive Bayes Classifier}
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\cite{naivebayes}
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\cite{naivebayes} is a classification method according to Bayes' theorem,
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shown in \Cref{eq:bayes}. Bayes' theorem allows us to calculate the
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probability of an event taking into account prior knowledge of conditions of
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the event in question. In classification this allows us to calculate the
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probability that a new instance has a certain class based its features. We
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then assign the class that has the highest probability.
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\begin{equation}
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\label{eq:bayes}
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P(A\mid B)=\frac {P(B\mid A)\,P(A)}{P(B)}
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\end{equation}
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\paragraph{$k$-Nearest Neighbors}
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