AI Worksheet: Training Data, Model, Prediction

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

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