AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 571 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
2. 2.Which of these is the model? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “the learned patterns” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
9. 9.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
10. 10.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) past weather records
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
14. 14.Which of these is training data? (a) past weather records (b) naming a new leaf (c) the learned patterns (d) tomorrow’s rain guess
15. 15.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) 500 labelled leaf photos (d) old emails marked spam
16. 16.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) flagging a new email
17. 17.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
19. 19.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
20. 20.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) flagging a new email (d) recorded spoken words
23. 23.True or false: “recorded spoken words” is training data. (a) False (b) True
24. 24.True or false: “flagging a new email” is a prediction. (a) False (b) True
25. 25.True or false: “the trained program” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
27. 27.True or false: “flagging a new email” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
29. 29.⏩ 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
30. 30.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
31. 31.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
35. 35.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) labelled fruit photos
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
40. 40.Which of these is training data? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam

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