[FAQ Bot] NEW: Question 6: Using seed 9, combine train+validation, fill missing values

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✨ FAQ NEW

Course: machine-learning-zoomcamp
Section: module-2 (The scenario is part of the regression workflow (splitting/combining, imputing missing values, training with a given regularization/r, and computing RMSE), which belongs to the regression module for car price prediction: module-2 (Machine Learning for Regression).)
Related Issue: #426

Question

Question 6: Using seed 9, combine train+validation, fill missing values with 0, train with r=0.001 — what is the test RMSE?

Decision Rationale

This specific question (“seed 9”, combining train+validation, fill missing with 0, train with r=0.001, and asking for the resulting test RMSE) is not fully answered in the existing FAQs. While related concepts (combining datasets, handling missing values) exist, the final expected RMSE for these exact settings is missing.

Placement Details

• Section ID: module-2
• Sort Order: End of section
• Filename Slug: mlq6-seed9-combine-fill0-train-r-0-001-rmse

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🤖 Generated by FAQ Bot

Closes #426