Welcome to the ML dashboard! Check your model’s performance and visualize the results without any code.
Upload your results as JSON or CSV files. Or simply paste your data in.
Start by checking confusion matrices to spot errors and class issues. Then watch your training curves to track accuracy and loss. Also look at dataset distributions to catch imbalances or odd patterns. After that, review key metrics like precision, recall, F1-score, and accuracy.
Charts are fully interactive—you can hover and zoom with ease. As a result, you can find errors quickly, compare models, and make improvements fast.
Overall, this dashboard offers a simple way to visualize, understand, and improve your ML models.