In this assignment, you will utilize RapidMiner: Prepare a Word file and insert 1) your process as an image (File > Print/Export Image), 2) your results as an image, and 3) your interpretation around 3-4 sentences for each question below. This assignment uses 'Titanic_Data.xIs' Task 1: Decision Tree a) Build a decision tree model b) What is your target variable? c) What are your key attributes to estimate your target variable? d) Choose your best model complexity (i.e., depth of decision tree) and provide your logic Task 2: Support Vector Machine (SVM) a) Build your SVM model (note: SVM cannot accommodate binary variables. So, you need to select numeric variables to estimate your target variable) b) If you see the error message about missing value, please search 'Replace Missing Value' in the Operators tab and insert it into your process ) Once you run your model, try to interpret your results (i.e., Kernel Model (SVM)). Use 'Weight Visualization' or 'Support Vector Visualization,\" and provide your interpretations. Task 3: Logistic Regression a) Build your logistic regression model b) Specify your model in the equation (note: you can refer 'results' tab > data > Coefficient) c) Based on your results, what is the most important variable to estimate your target variable? Can you provide your logic on why? Task 4: Artificial Neural Network (ANN) a) Build your ANN model (note: you can search 'Neural Net' in the Operators tab) b) Provide your neural network including input, hidden layer, and output Task 5: Clustering (K-means) a) Build your K-means (note: you can search 'k-Means' in the Operators tab) b) If you see the error message about missing value, please search 'Replace Missing Value' in the Operators tab and insert it into your process c) If you see the error message about attributes, you need to select a proper set of attributes in 'Select Attributes' process d) Try to different k (i.e., number of clustering) ranging from 2-5, find your best k, and provide your logic. Process ) Process Retrieve Titanic_Da... c out[) V4 Set Role Decision Tree Select Attributes Replace Missing Va...