In this task, you build, train and fit your model and make predictions based on it. This time you will make predictions about total_phenols, based on flavanoids. It means that your target now is total_phenols.

Your plan:

1. [Line #18] Define the target (in this task it's total_phenols).
2. [Line #25] Split the data 70-30 (70% of the data is for training and 30% is for testing) and insert 1 as a random parameter.
3. [Line #26] Initialize linear regression model .
4. [Line #27] Fit the model using your tain data.
5. [Line #30] Assign np.array() to the variable new_flavanoids if their number is 1 (don't forget to use function .reshape(-1,1)).
6. [Line #31] Predict and assign the amount of flavanoids to the variable predicted_value.
7. [Line #32] Print the predicted amount of flavanoids.