AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 331 · 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) naming a new fruit photo (b) recorded spoken words (c) the trained program (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
3. 3.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) naming a new leaf
4. 4.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
6. 6.True or false: “old emails marked spam” is the model. (a) False (b) True
7. 7.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) recorded spoken words
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
12. 12.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
15. 15.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
16. 16.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) the trained program (d) naming a new fruit photo
17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
18. 18.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
20. 20.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
21. 21.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
22. 22.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
28. 28.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
29. 29.🔮 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
30. 30.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) what training builds
31. 31.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “flagging a new email” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “naming a new leaf” is the model. (a) False (b) True
37. 37.Which of these is training data? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
38. 38.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
39. 39.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) old emails marked spam (d) flagging a new email
40. 40.True or false: “what training builds” is the model. (a) True (b) False

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