In Predictive Modeling, we cannot predict the target variable unless we do the classification exercise first

To opine on the given statement, I would say that “It is not always mandatory to do the classification exercise to predict the target variable.” To elucidate, I would like to use the supervised learning methods- Classification and Regression with an example of the Hurricane Matthew.
Hurricane Matthew which hit the state of Florida was categorised as 4 amongst the categories 1,2,3,4 and 5. This classification into a predefined class would be done using classification algorithm which uses input variables like the wind speed, ocean currents, temperature, terrain etc.
For evacuation purposes, values like the maximum speed of the hurricane winds or the maximum number of days the winds prevails in an area, would have been computed using regression techniques. This does not necessitate the output variable to be classified into groups.
Classification technique, predicts if a certain observation belongs to a predefined class of qualitative output i.e, categorical and discrete data. On the other hand, regression technique tries to predict the exact value (response), based on previous information (predictors).

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