The calculations below relate to a binary classification example $($Yes$/$No$)$ for samples with three predictive features, for this example the values for these features are V$1,$V$2,$ V$3.$ P$($Yes$|$data$)=$ P$($V$1|$Yes$)$ x P$($V$2|$Yes$)$ x P$($V$3|$Yes$)$ x P$($Yes$)$ P$($Yes$)=(1/42/42/4)4/10$ P$($No$|$data$)=$ P$($V$1|$No$)$ x P$($V$2|$No$)$ x P$($V$3|$No$)$ x P$($No$)$ P$($No$)=(2/62/6$ x $4/6)$ x $6/10$ In this case the prior probabilities have been set from the data. If the prior probabilities were set to be equal would the result change? in $80$ wirds