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Intro to evaluation metrics for predictive models and how to use them in Spark MLlib

June 11, 2018 0

Introduction Evaluating predictive models is important part of building efficient and accurate predictive models. After a model has been built, one needs to get feedback about performance, make some improvements and repeat those steps until you achieve desirable accuracy. For measuring performance of a model different evaluation metrics are being used depending on model type […]

Churn prediction with Spark

April 3, 2018 0

Introduction Churn analysis is one of the applications of predictive analysis. It is mostly applied in businesses with contractual customer-supplier relationship where the initial goal is to keep the customers and attract new ones. In churn analysis we measure the unwanted behavior in this type of businesses, which means that we try to identify which […]