AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 413 · 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: “typing a new spoken word” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the learned patterns (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
6. 6.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
11. 11.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
12. 12.⏩ 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
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
16. 16.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
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.True or false: “old emails marked spam” is training data. (a) False (b) True
19. 19.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) tomorrow’s rain guess
20. 20.True or false: “naming a new fruit photo” is training data. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
22. 22.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
23. 23.True or false: “recorded spoken words” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
25. 25.⏩ 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
26. 26.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) the trained program (d) typing a new spoken word
27. 27.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
28. 28.⏩ 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
29. 29.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
30. 30.True or false: “naming a new leaf” is a prediction. (a) False (b) True
31. 31.⏩ 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
32. 32.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
33. 33.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is the model. (a) False (b) True
35. 35.Which of these is training data? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) past weather records
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns

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