AI Worksheet: Training Data, Model, Prediction

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

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