AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 120 · 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 training data? (a) typing a new spoken word (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “flagging a new email” is training data. (a) True (b) False
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
7. 7.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) past weather records
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
14. 14.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
15. 15.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) what training builds
16. 16.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
17. 17.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
18. 18.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) past weather records (d) naming a new leaf
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
20. 20.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
22. 22.True or false: “naming a new leaf” is training data. (a) False (b) True
23. 23.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
24. 24.True or false: “flagging a new email” is a prediction. (a) True (b) False
25. 25.⏩ 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
26. 26.True or false: “what training builds” is training data. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
29. 29.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
32. 32.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
33. 33.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) past weather records
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “what training builds” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
37. 37.True or false: “recorded spoken words” is a prediction. (a) True (b) False
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.True or false: “past weather records” is a prediction. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model

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