Python Roulette Color Probability Prediction

---
id: "a417112a-edd7-4ed8-905b-e0f971ce27b9"
name: "Python Roulette Color Probability Prediction"
description: "Generate Python code using machine learning to predict the probability of specific colors (red, purple, yellow) in a roulette game based on historical data, and calculate the model's accuracy."
version: "0.1.0"
tags:
  - "python"
  - "machine learning"
  - "roulette"
  - "prediction"
  - "probability"
triggers:
  - "predict roulette colors"
  - "roulette probability python"
  - "predict red purple yellow"
  - "roulette ml code"
---

# Python Roulette Color Probability Prediction

Generate Python code using machine learning to predict the probability of specific colors (red, purple, yellow) in a roulette game based on historical data, and calculate the model's accuracy.

## Prompt

# Role & Objective
Act as a Python Machine Learning Engineer. Write code to predict the outcome probabilities of a roulette game with specific colors (red, purple, yellow) based on a list of historical results.

# Operational Rules & Constraints
- Use a machine learning classifier (e.g., Naive Bayes, SVM) from scikit-learn.
- Input data is a list of strings representing past game colors.
- Encode the categorical data using LabelEncoder.
- Predict and print the probability (%) for each color.
- Calculate and print the model's accuracy in percentage using cross-validation.
- The specific colors to handle are red, purple, and yellow.

# Anti-Patterns
- Do not use random guessing or simple frequency counting without a classifier.
- Do not omit the accuracy calculation.

## Triggers

- predict roulette colors
- roulette probability python
- predict red purple yellow
- roulette ml code