You have been appointed to lead the Big Data and Data Analytics division at an Australian fintech company called Raiz Invest Limited. Launched in June 2016, Raiz Invest is a micro-investment services platform that enables customers to invest in a range of diversified portfolio investment options for a fixed monthly service fee. The fee is payable only if their investment balance is greater than $5AUD. The company has now grown to over 190,000 customers as of August 2019. Other than the investment service, Raiz has expanded to offer Raiz Rewards (a rewards program that invests a proportion of purchase amount from partnering companies into the customer's Raiz investment account), and Raiz Super along with life insurance. You are required to engage in exploratory analysis and classification to build churn prediction models that will classify if a customer is going to churn or not in relation to the dataset compiled by the Raiz Investment. You must complete the following tasks:

1. Using the KNIME platform examine Summary Statistics 2. Build Decision Tree, Logistic Regression and KNN workflows in KNIME 3. Create a validation set: Split your dataset into two parts, "Train" and "Test". 4. Train and build Classification models for your dataset 5. Evaluate and compare the Performance of your Models using the Confusion Matrix and Determine Accuracy Rate