Model Training Lab

Lesson Overview

In "Machine Learning for Trading" → "Model Training", this lesson "Model Training Lab" builds knowledge you can apply immediately.

Train XGBoost classifier; output test accuracy, precision, recall, AUC. Compare random baseline.

Core Concepts

These points align with the video walkthrough—take notes as you watch.

• ▸Train XGBoost classifier; output test accuracy, precision, recall, AUC.
• ▸Compare random baseline.

Practical Application

After studying, complete the practice tasks below to move from understanding to doing.

• ▸Follow along in Jupyter or VS Code
• ▸Log how parameter changes affect backtest results
• ▸Submit a reproducible analysis notebook

FAQ

• ▸Q: How does this lesson fit the course? A: Part of "Model Training"—follow the curriculum order.
• ▸Q: What do I need? A: Demo account and notes; quant lessons need a Python environment.
• ▸Q: How do I know I've mastered it? A: Pass the quiz and explain three key points of Model Training Lab on your own.