AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 79 · 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 the model? (a) the learned patterns (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
5. 5.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
6. 6.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
8. 8.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) the learned patterns
10. 10.Which of these is training data? (a) past weather records (b) what training builds (c) typing a new spoken word (d) the learned patterns
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
13. 13.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
15. 15.True or false: “naming a new leaf” is a prediction. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
23. 23.True or false: “labelled fruit photos” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
26. 26.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) labelled fruit photos (d) past weather records
29. 29.⏩ 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
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
34. 34.True or false: “flagging a new email” is training data. (a) True (b) False
35. 35.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new leaf (d) the trained program
36. 36.Which of these is the model? (a) what training builds (b) past weather records (c) naming a new leaf (d) labelled fruit photos
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
39. 39.True or false: “recorded spoken words” is the model. (a) False (b) True
40. 40.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) old emails marked spam (d) the learned patterns

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