AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 880 · 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 trained program”? (a) a prediction (b) the model (c) training data
2. 2.Which of these is training data? (a) flagging a new email (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
4. 4.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
6. 6.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
7. 7.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
9. 9.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
14. 14.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
16. 16.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
17. 17.True or false: “what training builds” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
19. 19.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) recorded spoken words
20. 20.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.True or false: “past weather records” is training data. (a) False (b) True
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
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) naming a new fruit photo (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
33. 33.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) tomorrow’s rain guess (d) past weather records
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
37. 37.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) labelled fruit photos (d) flagging a new email
38. 38.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
39. 39.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) naming a new leaf
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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