probability-calibration
OfficialEnsure your sports prediction probabilities are accurate.
AuthorPuckAPI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill verifies and corrects the alignment between predicted win probabilities and actual outcomes, enhancing the reliability of sports models.
Core Features & Use Cases
- Calibration Verification: Generates reliability diagrams to assess how well the model's probabilities reflect real-world results.
- Score Calculation: Computes Brier scores and calibration errors to quantify probability quality.
- Model Adjustment: Applies Platt scaling or isotonic regression to improve calibration based on historical data.
- Use Case: A sports analyst has a trained model and wants to verify if its predicted probabilities are trustworthy before placing bets or making in-game decisions, ensuring more accurate expected value calculations.
Quick Start
Use the probability calibration skill to evaluate the calibration of your model predictions and apply corrections if necessary.
Dependency Matrix
Required Modules
scikit-learn
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: probability-calibration Download link: https://github.com/PuckAPI/claude-sports-analytics/archive/main.zip#probability-calibration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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