I have a question from one case study and I would like to know if my solution is a correct one or not. So, the question is:
The management asked you to develop a text mining model using only the text attribute “content”, as well as Gradient Boosted Trees to classify all reviews.
Draw three RapidMiner processes. First, the main process featuring the predictive model. Second, the process of ensuring the model cross-validation using the Bootstrapping method. And third, the process responsible for parsing the text field.
Extend your process to include an ensemble model.
What I plan to do:
First process model: Making a Neural network predictive model,
Second process model: Cross-validating the process model with bootstrapping,
Third process model: Parsing the text model,
Extending the process using bagging ensemble method.
My question is whether the first model where I am creating the predictive model with the Neural network is a correct solution considering that I will be using Bagging ensemble method?