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What algorithms are run behind the scenes?
What algorithms are run behind the scenes?
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Written by Obviously AI
Updated over a week ago

Obviously AI supports several well known Machine Learning algorithms and creates a unique combination of settings (hyper-parameters) to generate custom tailored algorithm for your data.
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That's why, on Obviously AI, no two algorithms will ever be the same!

How it works?

Obviously AI starts by identifying the properties of your data, such as: Number of Rows & Columns, Types of features (Discrete, Continuous, Date/Time, etc), Sparseness, Variance and over 35+ other properties.

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Once done, it shortlists top 5 algorithms to use based on the properties of your dataset. Each algorithm has combination of settings called hyper-parameters. Finding the right combination of these settings enables the algorithm make the right predictions.

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Obviously AI runs the 5 shortlisted algorithms with thousands of different combinations of settings, each. This means it is running over 10,000+ different algorithm at any given time.

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Each algorithm is tested for accuracy and the 1 of the 10,000+ different algorithms, with the highest accuracy is picked and displayed. This entire process happens in less than 1 minute in just one single click!

What algorithms are used?

Below is a list of ML algorithms Obviously AI supports today.

To see Obviously AI in action, checkout this demo video OR enroll in the No-Code AI University for free to become a certified no-code AI expert.

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