Open the example process Predictive Maintenance in RapidMiner (see screenshot below). Add breakpoints as needed or make modifications to the process as needed to answer the following questions. Explain the following in brief: (a) Describe the business problem context and the data mining problem being solved. (b) Explain what is happening in Steps 3 and 4. (c) What is the best value of k obtained and what is the corresponding accuracy metric?

Blank Process Start a new process from scracch in the design view. Turbo Prep Prepare your data interactwely: transform, clean and combine data sets. Auto Model Buld and aptimize models using automated machine leaming. Choose a template to start from ((is))) Churn Modeling Predict which of your customers will churn and why with a decision tree. Market Basket Analysis Find products frequently purchased together and oum them into rules for recommendations. Lift Chart Create a lift chart to visualize the improvement that a model provides compared to guessing- Direct Marketing Predict response to campaigns and increase the conwersion rate of your campaign. o) Predictive Maintenance Model equipment failures to schedule maincenance pre-emptively Operationalization Embed predictive models into business processes to trigger the right actions automatically. [ig) Credit Risk Modeling Model credit default risk by training an optimized Support Vector Machine (SV)M) model. Price Risk Clustering Cluster price developments using x-Means to unveil price-risk-relationships. Outlier Detection Derect anomalies in data resulting from a chemical enalysis of wines. Geographic Distances Sentiment Analysis Time Series Forecasting