AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 765 · 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.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
2. 2.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
3. 3.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
4. 4.True or false: “naming a new fruit photo” is training data. (a) False (b) True
5. 5.Which of these is a prediction? (a) what training builds (b) past weather records (c) old emails marked spam (d) flagging a new email
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
7. 7.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
8. 8.True or false: “naming a new fruit photo” is the model. (a) True (b) False
9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
12. 12.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
13. 13.True or false: “past weather records” is a prediction. (a) False (b) True
14. 14.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
16. 16.True or false: “past weather records” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
18. 18.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
21. 21.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) flagging a new email (d) the trained program
22. 22.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
23. 23.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) past weather records (d) naming a new leaf
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: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
26. 26.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
27. 27.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
28. 28.Which of these is training data? (a) naming a new leaf (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
29. 29.True or false: “naming a new leaf” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “what training builds” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “old emails marked spam” is the model. (a) False (b) True
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
37. 37.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) past weather records (d) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
40. 40.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos

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