You are given a dataset with two features $($Weather and Time of Day$)$ and one target variable $($Decision to Go for a Walk$),$ as shown below:

$\backslash$begin$\{$tabular$\}\{|$l$|$l$|$l$|\}$

$\backslash$hline Weather & Time of Day & Go for a Walk $\backslash \backslash$

$\backslash$hline Sunny & Morning & Yes $\backslash \backslash$

$\backslash$hline Sunny & Afternoon & Yes $\backslash \backslash$

$\backslash$hline Cloudy & Morning & No $\backslash \backslash$

$\backslash$hline Cloudy & Afternoon & Yes $\backslash \backslash$

$\backslash$hline Rainy & Morning & No $\backslash \backslash$

$\backslash$hline Rainy & Afternoon & No $\backslash \backslash$

$\backslash$hline Sunny & Evening & Yes $\backslash \backslash$

$\backslash$hline Cloudy & Evening & No $\backslash \backslash$

$\backslash$hline

$\backslash$end$\{$tabular$\}$

Using Naive Bayes, calculate the probability that a person will decide to Go for a Walk$=$ Yes if Weather $=$ Cloudy and Time of Day $=$ Afternoon. If your answer is $0\mathrm{.}4562,$ enter it as $45\mathrm{.}62\backslash \%$