AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 300 · 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) tomorrow’s rain guess (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
3. 3.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
4. 4.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
5. 5.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) what training builds (d) tomorrow’s rain guess
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
7. 7.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
8. 8.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
10. 10.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
14. 14.True or false: “old emails marked spam” is the model. (a) True (b) False
15. 15.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
16. 16.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) 500 labelled leaf photos (d) tomorrow’s rain guess
17. 17.True or false: “the learned patterns” is a prediction. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) the learned patterns
22. 22.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
23. 23.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) 500 labelled leaf photos
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
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: “past weather records” is training data. (a) True (b) False
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
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.Which of these is training data? (a) what training builds (b) the learned patterns (c) past weather records (d) typing a new spoken word
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
35. 35.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
38. 38.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) old emails marked spam (d) flagging a new email
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds

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