AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 429 · 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.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
3. 3.🔮 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
4. 4.True or false: “recorded spoken words” is the model. (a) False (b) True
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
7. 7.⏩ 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
8. 8.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
9. 9.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
10. 10.True or false: “recorded spoken words” is a prediction. (a) False (b) True
11. 11.True or false: “old emails marked spam” is training data. (a) True (b) False
12. 12.⏩ 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
13. 13.True or false: “flagging a new email” is training data. (a) True (b) False
14. 14.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
16. 16.⏩ 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
17. 17.True or false: “naming a new leaf” is a prediction. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “flagging a new email” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
26. 26.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) naming a new leaf (d) old emails marked spam
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
28. 28.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
33. 33.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) labelled fruit photos
34. 34.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
35. 35.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) past weather records (d) labelled fruit photos
36. 36.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
37. 37.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) recorded spoken words
38. 38.True or false: “the learned patterns” is training data. (a) False (b) True
39. 39.True or false: “naming a new leaf” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf

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