Explore and filter model evaluation results
Explore tradeoffs between privacy and fairness in machine learning models
Generate financial charts from stock data
Generate images based on data
Browse and filter AI model evaluation results
Launch Argilla for data labeling and annotation
Generate detailed data reports
Display color charts and diagrams
Detect bank fraud without revealing personal data
Evaluate model predictions and update leaderboard
Form for reporting the energy consumption of AI models.
Classify breast cancer risk based on cell features
Visualize dataset distributions with facets
GTBench is a data visualization tool designed to help users explore and filter model evaluation results. It provides an interactive interface to analyze and compare performance metrics of different models, enabling deeper insights into their effectiveness.
• Interactive Visualization: Explore model performance through dynamic and customizable visualizations. • Advanced Filtering: Apply filters to narrow down results based on specific criteria such as model type, dataset, or performance metrics. • Real-Time Updates: Get instant feedback as you adjust filters or visualization settings. • Multi-Model Support: Compare results from multiple models in a single interface. • Customizable Dashboards: Tailor the layout to focus on the metrics that matter most. • Export Capabilities: Save and share visualizations or raw data for further analysis.
What does GTBench stand for?
GTBench stands for Graph Tool Benchmark, a utility for analyzing and visualizing model evaluation data.
Can I use GTBench for models other than graphs?
Yes, GTBench supports a variety of model types, including but not limited to graph-based models.
How do I export visualization results from GTBench?
To export results, use the "Export" button in the toolbar, which allows you to save visualizations as images or raw data as CSV files.