AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 141 · 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) 500 labelled leaf photos (b) naming a new leaf (c) typing a new spoken word (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
8. 8.True or false: “the learned patterns” is training data. (a) False (b) True
9. 9.True or false: “what training builds” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
16. 16.True or false: “recorded spoken words” is the model. (a) True (b) False
17. 17.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
18. 18.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
19. 19.True or false: “typing a new spoken word” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
21. 21.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
22. 22.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) old emails marked spam
23. 23.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
26. 26.True or false: “old emails marked spam” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
28. 28.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) flagging a new email (d) naming a new fruit photo
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.⏩ 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
31. 31.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) typing a new spoken word
32. 32.⏩ 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
33. 33.⏩ 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
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.⏩ 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
36. 36.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
38. 38.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
39. 39.True or false: “naming a new leaf” is a prediction. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data

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