AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 400 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
2. 2.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
3. 3.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
5. 5.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
6. 6.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
7. 7.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
12. 12.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
14. 14.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
15. 15.Which of these is training data? (a) the trained program (b) flagging a new email (c) what training builds (d) past weather records
16. 16.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) old emails marked spam (d) what training builds
17. 17.True or false: “old emails marked spam” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
22. 22.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
23. 23.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
27. 27.True or false: “past weather records” is a prediction. (a) True (b) False
28. 28.True or false: “recorded spoken words” is training data. (a) True (b) False
29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
31. 31.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
32. 32.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) recorded spoken words
35. 35.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
37. 37.True or false: “the trained program” is the model. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
40. 40.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True

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