Suppose that we have a data set named as DAT We want to perform a binary classification using this data set on two classes positive and negative We have performed stratified holdout resampling and obtained a training set with 800 observations, of which 520 are in class positive Which of the following is the most possible scenario A The testing set obtained contains a total of 500 observations, of which 175 are in class negative B The testing set obtained contains a total of 300 observations, of which 135 are in class negative C The data set DAT contains a total of 1200 observations, of which 960 are in class positive D The testing set obtained contains a total of 200 observations, of which 110 are in class positive E The data set DAT contains a total of 900 observations, of which 550 are in class positive

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Question: Suppose that we have a data set named as DAT. We want to perform a binary classification using this data set on two classes positive

Suppose that we have a data set named as DAT. We want to perform a binary classification using this data set on two classes positive and negative. We have performed stratified holdout resampling and obtained a training set with 800 observations, of which 520 are in class positive. Which of the following is the most possible scenario?

	A.	The testing set obtained contains a total of 500 observations, of which 175 are in class negative
	B.	The testing set obtained contains a total of 300 observations, of which 135 are in class negative
	C.	The data set DAT contains a total of 1200 observations, of which 960 are in class positive
	D.	The testing set obtained contains a total of 200 observations, of which 110 are in class positive
	E.	The data set DAT contains a total of 900 observations, of which 550 are in class positive

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