AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 160 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
5. 5.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) typing a new spoken word
6. 6.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
7. 7.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) old emails marked spam
8. 8.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
9. 9.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
10. 10.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
12. 12.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) past weather records
13. 13.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
14. 14.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
16. 16.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) 500 labelled leaf photos (d) past weather records
17. 17.⏩ 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
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
22. 22.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
23. 23.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) the trained program (d) naming a new fruit photo
24. 24.True or false: “naming a new leaf” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
26. 26.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) tomorrow’s rain guess
27. 27.True or false: “the trained program” is training data. (a) False (b) True
28. 28.True or false: “old emails marked spam” is the model. (a) True (b) False
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
31. 31.True or false: “past weather records” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
33. 33.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “past weather records” is a prediction. (a) False (b) True
38. 38.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.True or false: “the learned patterns” is a prediction. (a) True (b) False

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