Enhance interpretability of any black-box ML model by leveraging Giggso’s evaluate and explain functionality
Dynamic explainable dashboards to evaluate and explain the model’s decisions in terms of the data used, and features contributing to its prediction behavior. Zoom into features of interest at ease with multiple user-controls and interactive visualizations.
A comprehensive look into the key features influencing the model outcomes while also emphasizing on a particular prediction made by the model.
Visualise Key evaluation metrics along with model explanations to gain enhanced visibility into the ‘how’ and ‘why’ behind black-box models. Easy correlation between the performance and feature attributions for models through sharable Explainability reports.