AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 41 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) typing a new spoken word (d) old emails marked spam
6. 6.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
7. 7.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
8. 8.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
10. 10.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
21. 21.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) what training builds
22. 22.Which of these is training data? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) naming a new leaf
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
26. 26.True or false: “past weather records” is training data. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
28. 28.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
29. 29.True or false: “what training builds” is the model. (a) True (b) False
30. 30.True or false: “the learned patterns” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
33. 33.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
34. 34.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
36. 36.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
37. 37.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) 500 labelled leaf photos (d) the learned patterns
38. 38.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
39. 39.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
40. 40.True or false: “past weather records” is the model. (a) True (b) False

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