I need help with these 3. thank youu

Using our dataset of previous projects, we would like to predict the amount of revenue a new project will earn. Which of the following is an appropriate method for that: Normalization Regression Tree Holt-Winters Double Exponential Smoothing We've built a logistic regression model in RapidMiner, and would like to use it to make predictions for some new data points. Which operator do we need: Cross Validation Performance Nominal to Numerical Apply Model Match the tem to the definition/description. [Choose] Method of spluting data into subsets and teating the model against each subset (fold) and calculated the average RMSE Builds the prediction model (Actual volue - predicted value) Simillar to Standard Error of a regression model; lower values denote greater accuracy. Evaluates the prediction model Training Sub-process Testing Sub process