Please help! Got them wrong!

Question 6 0 / 0.5 pts Suppose a university wants to increase the satisfaction of its students by offering them learning options that best suit their learning habits. The academic department surveys several hundred students on their learning habits and the kind of learning option (fully offline, fully virtual, or hybrid) would they choose. All variables regarding learning habits and learning options are considered equally. Using this data which of the following algorithms are the most suitable to apply: Clustering Regression Classification Recommendation Question 7 0 / 0.5 pts We may convert a regression problem into a classification problem by Converting the outcome variable from numeric to categorical type Converting a few numeric predictors to categorical types Dropping the outcome/ target variable to make it an unsupervised problem Converting the outcome variable from categorical to numeric None of these Question 8 0 / 0.5 pts We may convert a classification problem into a regression problem by Converting a few numeric predictors to categorical types Converting a few categorical predictors to numerical types Converting the outcome variable from numeric to categorical type Dropping the outcome/ target variable to make it an unsupervised problem None of these Question 9 0.25 / 0.5 pts How can we evaluate a predictive model's performance? (Choose all correct answers) By comparing the predictions with the actual values of the target variable w By comparing the prediction of one row with that of another row By calculating the prediction error defined as the difference between the fitted value and the actual values There is no way to assess the performance of a predictive model and thus these models are classified under the Unsupervised Learning category