AI Worksheet: Training Data, Model, Prediction

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

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