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How to Start Scoring with GiniMachine

How to start scoring with GiniMachine

If you’re looking to harness the potential of AI and ML and start scoring your datasets effectively, this article is your comprehensive guide. We’ll walk you through the essential steps and considerations to kickstart your scoring journey with GiniMachine, enabling you to extract meaningful information from your data and make informed business decisions.

How to Start Scoring. Spoiler: It’s as Easy as One-Two-Three

From preparing and uploading your dataset to reviewing scoring details, we’ll explore each step, empowering you to make informed decisions and streamline your operations effectively.

Step 1. Prepare and Upload Your Data Set

Dataset is the fuel of prediction-making. The more organized and polished it is, the better scoring you can get. We explain how to prepare a perfect dataset

File Upload GiniMachine

Step 2. Select the Cut-Off

There are various approaches to choosing the cut-off, but the crucial aspect is finding the right balance between profitability and missed opportunities. Our guide to selecting the cut-off for AI-powered decision-making will provide detailed information on this topic.

Here is how it works in a nutshell:

By moving the slider you can play with the cutoff value to find a balance between increased risks and missed revenues.

Selecting a higher cutoff value means choosing a strategy of playing safe.

Selecting a lower cutoff value means being more tolerant of risks.

Simply specify your desired cut-off value, and with GiniMachine’s powerful capabilities, you’ll receive valuable insights derived from your data in a matter of seconds. 

Cut-Off Value Specification for Credit Scoring

Step 3. Upload Your Applications

Ensure that your applications are in the same format as your dataset. Consistency in the data format is crucial for accurate analysis and optimal results. GiniMachine requires the applications to be uploaded in a compatible format to seamlessly integrate them into the decision-making process. 

Step 4. See the Dashboard 

Once the applications have been scored, users have the ability to review the scoring details for each applicant, allowing them to identify the specific attributes that significantly influenced their scores.

AI Scoring Outcomes Interpretation

The Applications Have Been Scored. What’s the Next Step?

Once you receive the scores, you can seamlessly integrate them into your existing program using API and proceed with the decision-making process.

Each application is assigned a unique ID and accompanied by GiniMachine’s suggestion of either “Approve” or “Decline”. This makes it effortless for you to identify and verify each application for the final decision, especially if your company follows a manual or semi-automated decision-making approach. 

AI Scoring Result

With these clear indications, you can confidently move forward in the decision-making process, utilizing GiniMachine’s insights to streamline your operations.

Wrapping Up

With GiniMachine, you can easily start scoring your datasets, leveraging AI and ML to make informed decisions. 

If you’re interested in leveraging the potential of AI and ML in your lending business and want to explore how GiniMachine can further optimize your operations, we encourage you to book a call with our expert team. We’ll guide you through the implementation process, answer any questions you may have, and help you unlock the full potential of GiniMachine.

Book a call with the GiniMachine team today and embark on a journey towards data-driven decision-making and improved profitability.

AI SCORING SOFTWARE

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