Data Analysis Design

This interface displays the results of pipeline runs in a clear and organized table. The design simplifies the process of analyzing and comparing different machine learning models, highlighting key metrics.

Key features:

• Metrics display: Important indicators such as Gini, AUC-ROC, and AUC-PR are visualized for easy comparison.

• Compute resource options: Icons for "GPU" and "CPU" next to the pipelines help users quickly understand which resources are being used.

• Tabular data: Neatly organized presentation of all pipelines with their performance and relevant metrics.

• Sort and filter buttons: Interactive elements allow users to easily sort and select the necessary data.

Ideal for analytical platforms that require easy comparison and interpretation of ML model results.

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