Shape of target or y or dependent variable is(,columns)all(rows,)(rows,columns)

The shape of the target or y or dependent variable in a dataset typically depends on the number of observations (rows) you have.

If you're using a library like pandas in Python, you can get the shape of your target variable using the .shape attribute.

Here's a step-by-step guide:

1. Let's say your target variable is stored in a pandas DataFrame or Series called y.

2. To get the shape of y, you would use the command y.shape.

3. The output will be a tuple, where the first element is the number of rows and the second element is the number of columns.

4. For a target variable y, you would typically have a single column, so the shape would be (n_rows, ) where n_rows is the number of observations in your dataset.

5. If y has more than one column, the shape would be (n_rows, n_columns).

Remember, the shape of your target variable may vary depending on the specific requirements of your machine learning model.