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Scoring Datasets for Model Evaluation and Decision Making

Scoring datasets play a crucial role in data analysis, machine learning, and predictive modeling. These datasets are used to evaluate a model’s quality and make decisions for new, unseen applications (records, cases). Scoring unseen data helps analysts and data scientists determine the effectiveness and accuracy of their predictive algorithms. Below, we provide a link to a collection of scoring datasets. Use them to test scoring and decision automation with GiniMachine.

Access scoring datasets here

Learn More About Scoring with GiniMachine 

1. Credit scoring
2. Collection scoring

Do you want to automate decision-making?

Use our API for seamless integration.

1. Credit scoring
2. Collection scoring