AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 947 · 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: “naming a new leaf” is a prediction. (a) False (b) True
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
3. 3.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
5. 5.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the learned patterns (d) naming a new leaf
11. 11.True or false: “old emails marked spam” is training data. (a) True (b) False
12. 12.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
14. 14.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
15. 15.True or false: “the learned patterns” is training data. (a) False (b) True
16. 16.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) what training builds (d) past weather records
17. 17.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is the model? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
20. 20.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) typing a new spoken word
21. 21.Which of these is training data? (a) flagging a new email (b) past weather records (c) the trained program (d) naming a new leaf
22. 22.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
23. 23.True or false: “flagging a new email” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
30. 30.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) labelled fruit photos
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
34. 34.True or false: “the trained program” is a prediction. (a) True (b) False
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records

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