AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 325 · 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 password (b) a prediction (c) a label error (d) training data
2. 2.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
4. 4.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) the learned patterns (d) naming a new leaf
5. 5.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
9. 9.True or false: “the learned patterns” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
11. 11.True or false: “what training builds” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
14. 14.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
16. 16.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
17. 17.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
21. 21.True or false: “what training builds” is a prediction. (a) False (b) True
22. 22.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new leaf (d) past weather records
23. 23.True or false: “past weather records” is the model. (a) True (b) False
24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
26. 26.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.Which of these is the model? (a) past weather records (b) the trained program (c) recorded spoken words (d) naming a new leaf
30. 30.True or false: “the trained program” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
32. 32.True or false: “recorded spoken words” is training data. (a) False (b) True
33. 33.True or false: “flagging a new email” is a prediction. (a) False (b) True
34. 34.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) old emails marked spam (d) past weather records
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
37. 37.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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