AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 90 · 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: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
4. 4.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
5. 5.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) tomorrow’s rain guess (d) past weather records
6. 6.True or false: “past weather records” is training data. (a) False (b) True
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
8. 8.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the trained program (d) past weather records
9. 9.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) the trained program
10. 10.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
12. 12.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
13. 13.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) labelled fruit photos (d) the trained program
14. 14.Which of these is training data? (a) the learned patterns (b) what training builds (c) labelled fruit photos (d) naming a new leaf
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
16. 16.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) flagging a new email (d) tomorrow’s rain guess
17. 17.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
18. 18.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) flagging a new email (d) what training builds
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
22. 22.True or false: “labelled fruit photos” is training data. (a) False (b) True
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
26. 26.Which of these is training data? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) naming a new fruit photo
27. 27.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
38. 38.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
39. 39.True or false: “past weather records” is the model. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction

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