Many compare feature engineering to an art and, as a result, almost no tools or processes have been developed to streamline it. But this art is more like an impossible task. The world of potential datasets and new features is so vast that data scientists can’t fully explore the range of possibilities, which means losing out on potentially huge improvements to models.
This art is just so damn hard, right?
Not when you have a powerful tool to infuse your art with science and ML-driven augmentation to generate features.
Feature Engineering in Explorium includes innovative auto feature generation to explore multiple data sources and the complex relationships between them. Once your dataset is enriched with the data from the Explorium external data gallery, the platform automatically generates a myriad of candidate variables across a wide range of datasets, testing and ranking to offer you the most impactful features for maximum predictive power.
Now you can automatically generate thousands of new features and immediately distill the top performers to drive ROI and impact your business. The platform uses various techniques to generate features, including: