From 8565e22d59f059757f32850e92bbbf0d6a34c503 Mon Sep 17 00:00:00 2001 From: FAQ Bot Date: Mon, 5 Oct 2026 12:11:48 +0000 Subject: [PATCH] NEW: Question 6: Using seed 9, combine train+validation, fill missing values --- ...lq6-seed9-combine-fill0-train-r-0-001-rmse.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 _questions/machine-learning-zoomcamp/module-2/033_b271d57642_mlq6-seed9-combine-fill0-train-r-0-001-rmse.md diff --git a/_questions/machine-learning-zoomcamp/module-2/033_b271d57642_mlq6-seed9-combine-fill0-train-r-0-001-rmse.md b/_questions/machine-learning-zoomcamp/module-2/033_b271d57642_mlq6-seed9-combine-fill0-train-r-0-001-rmse.md new file mode 100644 index 00000000..1b9a9a29 --- /dev/null +++ b/_questions/machine-learning-zoomcamp/module-2/033_b271d57642_mlq6-seed9-combine-fill0-train-r-0-001-rmse.md @@ -0,0 +1,16 @@ +--- +id: b271d57642 +question: 'Question 6: Using seed 9, combine train+validation, fill missing values + with 0, train with r=0.001 — what is the test RMSE?' +sort_order: 33 +--- + +To get the RMSE for Question 6, you need to follow the exact homework procedure in one consistent pipeline: + +- Re-split the data using `seed = 9`. +- Combine the training and validation parts back together (so the model trains on `train + validation`). +- Fill missing feature values with `0` (using the constant fill specified by the question). +- Train the regression model using `r = 0.001`. +- Compute RMSE on the provided test dataset using the model’s predictions. + +If you still get a value that doesn’t match the multiple-choice options, double-check that you fully reinitialize the index/iteration variables used in the loop for question 5/6 (the homework notes that you should reinitialize like `Idx = np.arange(n)` for each question/`r` iteration), since stale state can shift results. \ No newline at end of file