Probability Calibration
Improve the reliability of predicted probabilities
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
My classification model returns probabilities but they seem poorly calibrated (distorted reliability diagram). Explain how to calibrate probabilities with Platt Scaling and Isotonic Regression, when to use each method, and how to measure calibration improvement with the Brier Score and ECE.
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Use Cases
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Pour les petits datasets, préférez Platt Scaling (paramétrique, moins de variance) à Isotonic Regression qui risque le surajustement. Calibrez toujours sur un fold séparé ou en validation croisée pour éviter de biaiser l’évaluation. Mesurez l’amélioration avec ECE (Expected Calibration Error) plutôt que Brier Score seul, car il isole le défaut de calibration.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Punchy Introduction
Introduction Writing
Prompt to Write a Professional Quote Request Email
A complete prompt to generate a structured, professional and customizable quote request email adapted to your industry and recipient.
Convert CSS to Tailwind
Migrate from standard CSS to Tailwind CSS
Existing Content Audit
Content asset cleanup and optimization