Question $26$

$1$ pts

In the same scenario described in Question $25,$ suppose the target variable can take binary values: 'Yes' means a customer will be interested in a new product; $\text{'}$No$\text{'}$ means the opposite. What is the CORRECT design of the output layer in a neural network model for the classification task?

The output layer consists of $1$ output node, and one$-$hot encoding is needed on the target output variable.

The output layer consists of $1$ output node, and no additional encoding is needed on the target output variable.

The output layer consists of $2$ output nodes, and no additional encoding is needed on the target output variable.

The output layer consists of $2$ output nodes, and one$-$hot encoding is needed on the target output variable.