AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 721 · 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.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
4. 4.Which of these is training data? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
5. 5.True or false: “flagging a new email” is the model. (a) False (b) True
6. 6.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
7. 7.True or false: “past weather records” is the model. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
10. 10.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “flagging a new email” is training data. (a) True (b) False
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
16. 16.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
17. 17.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
18. 18.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) naming a new leaf (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “old emails marked spam” is the model. (a) False (b) True
21. 21.True or false: “the learned patterns” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
23. 23.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) the trained program
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
25. 25.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
26. 26.Which of these is training data? (a) the trained program (b) past weather records (c) flagging a new email (d) naming a new fruit photo
27. 27.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
30. 30.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) recorded spoken words (d) flagging a new email
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
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.True or false: “old emails marked spam” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) 500 labelled leaf photos (d) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
38. 38.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
39. 39.Which of these is the model? (a) what training builds (b) past weather records (c) old emails marked spam (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program

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