One of the most frequent questions I get asked is: “Ingo, I am from Industry X and my data looks like Y and my colleague recommended to use model Z – what is your opinion on what model to use?” In general, my philosophy for model selection is very simple: you should use whatever model type and parameterization works best for your data on a fitness function of your interest. As a consequence, I simply do not believe in recommendations like “this algorithm worked for me” or “this is a standard in our industry”. This does not mean that a particular model type is also the best solution for YOUR case. So, in this spirit, I refrain from giving specific model recommendations… BUT, I would like to explain a well-proven framework for model selection:
Doc Ingo, what model should I use?
- May 10, 2018
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Ingo Mierswa is the founder and president of RapidMiner and an industry-veteran data scientist since starting to develop RapidMiner at the Artificial Intelligence Division of the TU Dortmund University in Germany. Mierswa, the scientist, has authored numerous award-winning publications about predictive analytics and big data. Mierswa, the entrepreneur, is the founder of RapidMiner. Under his leadership RapidMiner has grown up to 300% per year over the first seven years. In 2012, he spearheaded the go-international strategy with the opening of offices in the US as well as the UK and Hungary. After two rounds of fundraising, the acquisition of Radoop, and supporting the positioning of RapidMiner with leading analyst firms like Gartner and Forrester, Ingo takes a lot of pride in bringing the world’s best team to RapidMiner.