DataVerse offers a convenient Compare feature that allows users to evaluate multiple AI models on a single data slice simultaneously. This functionality enables side-by-side comparison of model performance on a specific test set, assisting users in selecting the most suitable model for their use case.
Click on the video below for a quick overview:
Choose the AI models you wish to compare on your target data slice.
Initiate the comparison process by clicking the "Compare" button. Dataverse will process the input data using each selected AI model and generate the predicted output for all models.
Dataverse will display the prediction results for each model in a user-friendly visual format, allowing you to quickly assess and compare their performance. Observe patterns and trends in the predictions to identify potential strengths and weaknesses of each model.
DataVerse will automatically calculate performance metrics, such as accuracy, precision, recall, and F1 score, for each model. These metrics enable you to evaluate and compare the performance of different models on the same dataset, assisting you in selecting the most suitable model for your specific use case.
By leveraging the Compare feature in DataVerse, you can efficiently evaluate multiple AI models on a single data slice and make data-driven decisions for model selection and deployment. This feature streamlines the evaluation process and facilitates model comparison, ensuring that you choose the best-performing