Understanding the outputs from a model can sometimes be daunting. In this post, we show how we can convert the outputs from a multinomial logistic regression to gain more easily interpretable insights from the model.
read moreCumulative gains and lift curves are a simple and useful approach to understand what returns you are likely to get from running a marketing campaign and how many customers you should contact, based on targeting the most promising customers using a predictive model.
read moreIn a previous post, we discussed how to analyse categorical data with two outcomes using logistic regression model. Here we extend the logistic regression model to the case of an outcome with more than two categories.
read moreIn our latest blog on the EU referendum we look at fitting a model to the opinion poll results published in the run up to June 23rd. The model highlights how polling companies and practices influence the results and concludes that as of May 24th the probability of the UK remaining in the EU is about 68%.
read moreRetailers have been finding more and more sophisticated ways to use customer data to their advantage. By collecting and analysing consumer data, together with other socio-economic data, supermarkets are able to make evidence-based decisions when devising their marketing and operational strategies.
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