AI Worksheet: Training Data, Model, Prediction

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

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