AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 208 · 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: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
3. 3.True or false: “naming a new leaf” is a prediction. (a) False (b) True
4. 4.Which of these is training data? (a) the trained program (b) the learned patterns (c) labelled fruit photos (d) what training builds
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
7. 7.True or false: “past weather records” is a prediction. (a) False (b) True
8. 8.True or false: “the trained program” is a prediction. (a) False (b) True
9. 9.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
10. 10.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
11. 11.🧪 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
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
13. 13.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
14. 14.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
16. 16.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
21. 21.Which of these is training data? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) naming a new fruit photo
22. 22.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) past weather records (d) what training builds
23. 23.Which of these is the model? (a) flagging a new email (b) the trained program (c) typing a new spoken word (d) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “labelled fruit photos” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
27. 27.True or false: “old emails marked spam” is training data. (a) False (b) True
28. 28.⏩ 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
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
33. 33.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) the learned patterns (d) what training builds
34. 34.⏩ 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
35. 35.True or false: “flagging a new email” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
37. 37.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
38. 38.True or false: “the learned patterns” is a prediction. (a) True (b) False
39. 39.True or false: “what training builds” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program

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