Consider this set of training examples:

Instance Classification a$1$ a$2$

$---------------------------------$

$1+$ T T

$2+$ T T

$3-$ T F

$4+$ F F

$5-$ F T

$6-$ F T

Thus, instances $1,2,$ and $4$ are positive; $3,5,$ and $6$ are negative;

a$1$ and a$2$ are the attributes

What is the entropy of this set of training examples with respect to the target function classification?

What is the information gain of a$2$ relative to these training examples?

Note: The "target function classification" is given by the "Classification" column; each row is an instance or item of training data.Consider this set of training examples:

Thus, instances $1,2,$ and $4$ are positive; $3,5,$ and $6$ are negative;

a$1$ and a$2$ are the attributes

a$.$ What is the entropy of this set of training examples with respect to the target function

classification?

b$.$ What is the information gain of a$2$ relative to these training examples?

Note: The "target function classification" is given by the "Classification" column; each row is an

instance or item of training data.