AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 881 · 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) labelled fruit photos (b) past weather records (c) old emails marked spam (d) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
4. 4.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
5. 5.True or false: “what training builds” is training data. (a) True (b) False
6. 6.True or false: “flagging a new email” is the model. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) recorded spoken words
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
11. 11.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
12. 12.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
15. 15.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new fruit photo (d) old emails marked spam
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
24. 24.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) flagging a new email
25. 25.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) 500 labelled leaf photos (d) typing a new spoken word
26. 26.True or false: “the learned patterns” is the model. (a) False (b) True
27. 27.True or false: “typing a new spoken word” is the model. (a) True (b) False
28. 28.True or false: “labelled fruit photos” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
30. 30.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
31. 31.True or false: “old emails marked spam” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
33. 33.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) recorded spoken words (d) 500 labelled leaf photos
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data

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