Datarobot, Inc.

Pavlo Kochubei

Sylvain Ferrandiz

Ivan Pyzow

Anton Kasyanov

Yehor Kolchyba

Disclosed herein at methods and systems for visualizing machine learning model performance. One method comprises receiving a request to provide a visual representation of a machine learning technique executed on a set of images to generate a first attribute and a second attribute for each image; executing the machine learning model to receive the first and the second attribute for each image; mapping the first attribute to a visual distinctiveness protocol; identifying a distance for each image, the distance representing a difference between the second attribute predicted by the model for each pair of respective images within the set of images; and providing for display at least a subset of the set of images arranged in accordance with their respective distance and having a visual attribute corresponding to the mapped first attribute for each image.

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Kyiv, Ukraine

Pavlo Kochubei