The array_shift() function adds one or more elements to the beginning of an array.

(Hint: only the leaves of the old decision tree need to be changed.) Does the decision tree capture the “+” concept?

Following is a data set that contains two attributes, X and Y , and two class

labels, “+” and “?”. Each attribute can take three different values: 0, 1, or 2.



The concept for the “+” class is Y = 1 and the concept for the “?” class is

X = 0 ? X = 2.

Build a new decision tree with the following cost function:

Repeat the analysis in part (b) assuming that the rules have identical support. Which rule has the highest confidence?

What will be an ideal response?