Polygon.Scoring

Description

Polygon-Scoring is an innovative and user-friendly web application that serves as a comprehensive platform for evaluating the effectiveness of developed models. The application leverages advanced algorithms and calculated metrics to provide insightful information about the robustness and performance of the models.

One of the key features of Polygon-Scoring is its ability to assess the model's robustness by utilizing standard methods for augmenting the source data. By employing these techniques, the application can simulate various scenarios and evaluate how well the model performs under different conditions. This allows developers and researchers to gain a deeper understanding of the model's strengths and weaknesses, ultimately leading to more robust and reliable machine learning models.

Another valuable aspect of Polygon-Scoring is its capability to analyze the model's ability for Out-of-Distribution (OOD) detection. Users have the flexibility to select specific datasets and obtain comprehensive information about how well the model can detect and handle data that falls outside its training distribution. This OOD detection analysis provides critical insights into the model's generalization capabilities and its ability to handle real-world scenarios that may differ from the training data.

User Guide

To use Polygon-Scoring applicaton just follow several steps:

1. Upload your model and data files

   

2. Define input data size

   

3. Select options for data augmentation

   

4. Select a distribution for OOD Detection evaluation

   

5. Submit the form and get your result