AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 580 · 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.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
2. 2.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
4. 4.True or false: “the trained program” is the model. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) old emails marked spam
10. 10.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
11. 11.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
12. 12.Which of these is a prediction? (a) what training builds (b) the trained program (c) past weather records (d) naming a new fruit photo
13. 13.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
14. 14.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) past weather records (d) what training builds
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
19. 19.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
20. 20.True or false: “recorded spoken words” is the model. (a) False (b) True
21. 21.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) past weather records (d) old emails marked spam
22. 22.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
23. 23.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
25. 25.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
26. 26.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) recorded spoken words
29. 29.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
30. 30.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
31. 31.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) flagging a new email
32. 32.True or false: “past weather records” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
34. 34.⏩ 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
35. 35.True or false: “flagging a new email” is a prediction. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
38. 38.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam

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