AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 691 · 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) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) old emails marked spam
2. 2.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
4. 4.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) what training builds
5. 5.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
7. 7.True or false: “naming a new leaf” is a prediction. (a) True (b) False
8. 8.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) what training builds (d) typing a new spoken word
9. 9.⏩ 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
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “what training builds” is a prediction. (a) True (b) False
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
15. 15.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) old emails marked spam
16. 16.True or false: “flagging a new email” is the model. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
18. 18.True or false: “the trained program” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
20. 20.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
24. 24.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “what training builds” is the model. (a) False (b) True
28. 28.True or false: “the learned patterns” is training data. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “labelled fruit photos” is training data. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
33. 33.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) past weather records
34. 34.Which of these is the model? (a) what training builds (b) past weather records (c) flagging a new email (d) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) recorded spoken words
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.True or false: “past weather records” is training data. (a) True (b) False
40. 40.True or false: “flagging a new email” is a prediction. (a) True (b) False

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