Hyper-parameter tuning is already taken care of automatically within the platform. When you click on the Start Predicting button after uploading and reviewing your data on the platform, the model training begins. In the backend the platform runs the main algorithms along with different hyper-parameter combinations (this results in more than 10000 algorithms running in parallel) and chooses the top 2 combinations for each algorithm.
You do, however, have the choice to pick a different machine learning model. You can do that by visiting Tech Specs and then scrolling down to Other Machine Learning Models section and hit Re run with this model button on the model of your choice.
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