AI Scoring Systems — Complete Guide

AI Scoring Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.

8 min read Updated 8/20/2026

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ML.NET Tutorial · Lesson 38 of 100

AI Scoring Systems

Foundations ✓ → Models → NLP & advanced → MLOps

Models · 2 — Classify & regress · ~6 min · Module 4: Classification Models

What is this?

Scoring systems wrap models with thresholds, explanations hooks, and audit logs.

Why should you care?

AIPredict does not return raw floats alone — it returns decisions with reason codes.

See it live — copy this example

Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.

var p = engine.Predict(tx);
var decision = p.Probability >= 0.85 ? "block" : p.Probability >= 0.6 ? "review" : "allow";
_logger.LogInformation("score {P} decision {D} tx {Id}", p.Probability, decision, tx.Id);