AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 563 · 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: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
3. 3.True or false: “what training builds” is a prediction. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
5. 5.True or false: “flagging a new email” is training data. (a) True (b) False
6. 6.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
7. 7.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
8. 8.True or false: “recorded spoken words” is the model. (a) True (b) False
9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) past weather records (d) what training builds
10. 10.True or false: “naming a new leaf” is the model. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “flagging a new email” is the model. (a) True (b) False
14. 14.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the trained program (d) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
18. 18.⏩ 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
19. 19.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
24. 24.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) naming a new leaf (d) old emails marked spam
25. 25.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) the learned patterns
26. 26.Which of these is training data? (a) what training builds (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
27. 27.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) the trained program (d) naming a new fruit photo
28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
31. 31.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
33. 33.True or false: “typing a new spoken word” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
39. 39.True or false: “naming a new leaf” is a prediction. (a) False (b) True
40. 40.⏩ 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

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