Přejít k hlavnímu obsahu
🔒 Režim náhledu. Prvních patnáct lekcí Foundations je zdarma; tato je Pro. Spusťte 7denní trial pro odemčení editoru, AI nápověd a zbytku kurzu. Karta vyžadována, zrušte kdykoli v Dashboard.
Spustit 7denní trial →
⚡
← Kurzy
›
Data Science Applied
›
Module 2 · Cleaning & Feature Engineering · Recap
›
Capstone: end-to-end ML potrubí
quiz
47 / 104
🇨🇿
CS
▼
↗
Sdílet
⋯
Více
+200 XP
📋
Úkol
📖
Teorie
🤖
Pomoc AI
Úkol
🌐 shown in EN
📝 **Question:** Which ORDER of steps is the production-safe ML workflow? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
🎯 Kvíz
Otázka
📝 **Question:** Which ORDER of steps is the production-safe ML workflow? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
A
`model.fit(X_raw, y)` first to get a working baseline, then clean and engineer features later as accuracy improvements
B
Load → QA → clean → features → stratified split → Pipeline → cross-validate → touch test set once → persist artifact (prevents leakage)
C
Skip cross-validation, trust a single `train_test_split(random_state=0)` and ship whichever fit reaches the target metric first
D
Tune hyperparameters by reading the test-set F1 after every iteration and stop when the test metric stops improving notably
Odpovědět
💬
Kontaktovat podporu