AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 279 · 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.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
2. 2.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
3. 3.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
4. 4.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
5. 5.Which of these is the model? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) old emails marked spam
6. 6.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
7. 7.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) what training builds (d) naming a new fruit photo
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) naming a new leaf
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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “what training builds” is the model. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) naming a new fruit photo
17. 17.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
19. 19.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
21. 21.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
22. 22.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
23. 23.True or false: “recorded spoken words” is the model. (a) True (b) False
24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
25. 25.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
26. 26.🧪 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
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
30. 30.True or false: “what training builds” is training data. (a) False (b) True
31. 31.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
32. 32.Which of these is training data? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “naming a new fruit photo” is training data. (a) True (b) False
36. 36.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
37. 37.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new leaf (d) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
40. 40.⏩ 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

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