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20160302 - KAGGLE Santander Customer satisfaction competition
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Go to file###Santander Customer Satisfaction (02/03/2016) Kaggle website: https://www.kaggle.com/c/santander-customer-satisfaction (Excerpt from the competition) ###GOAL From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don't stick around. What's more, unhappy customers rarely voice their dissatisfaction before leaving. Santander Bank is asking Kagglers to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer's happiness before it's too late. In this competition, you'll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience. ###DATA You are provided with an anonymized dataset containing a large number of numeric variables. The "TARGET" column is the variable to predict. It equals one for unsatisfied customers and 0 for satisfied customers. The task is to predict the probability that each customer in the test set is an unsatisfied customer. File descriptions
train.csv - the training set including the target test.csv - the test set without the target sample_submission.csv - a sample submission file in the correct format