I believe the answer is a, column headings
While these are the core elements of a data dictionary, it's not uncommon to document additional information about each element, which may include the source of the information, the table or concept in which the attribute is contained, the physical database field name, the field length, and any default values.
Answer:
C.
Explanation:
A line graph can show how both the movie and the novel are compared to each other. It can give a visual of both mediums of the story rather than one or the other. Hope this helped :)
Answer:
Explanation:
I assume that this is python language
then you need to write it this way
print( "x=" , x )
Answer:
D. None of the answers is correct, since we're missing the probabilities: p(X1=0), p(X1=1),
Explanation:
To calculate the probability that an example belongs to a particular category, we need to know the prior probability of the category (p(Y=0) or p(Y=1)), the probability of the attribute value given the category (p(X1=0|Y=0) or p(X1=1|Y=1)), and the probability of the attribute value (p(X1=0) or p(X1=1)). We are missing the latter two probabilities, so we cannot calculate the probability that an example belongs to a particular category.