Probability Calibration for Reliable Predictions

Intermediate

Transform model scores into reliable probability estimates. Master Platt scaling, isotonic regression, and calibration evaluation using Expected Calibration Error and reliability diagrams.

60 min Lab: notebook 5 objectives 4 evidence types
Open Interactive Lab
60
Minutes
5
Objectives
4
Evidence Types
4
Success Criteria

Case Narrative

Learning Objectives

1
Understand why model scores are often not probabilities
2
Apply Platt scaling for sigmoid-based calibration
3
Apply isotonic regression for non-parametric calibration
4
Evaluate calibration quality using ECE and reliability diagrams
5
Choose the right calibration method for different scenarios

Required Evidence

Calibration Comparison Not collected yet
Reliability Analysis Not collected yet
Ece Computation Not collected yet
Method Selection Not collected yet

Case Details

Difficulty
Intermediate
Duration
60 min
Lab Type
notebook
Slug
probability-calibration

Prerequisites

No prerequisites - open to all

Success Criteria

Ece Computed Required
Isotonic Applied Required
Platt Scaling Applied Required
Reliability Diagram Analyzed Required

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