AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 964 · 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: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
5. 5.Which of these is the model? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) old emails marked spam
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
7. 7.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
8. 8.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) past weather records (d) naming a new leaf
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is a prediction? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
13. 13.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) naming a new leaf (d) labelled fruit photos
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is training data? (a) what training builds (b) naming a new leaf (c) past weather records (d) the trained program
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
19. 19.True or false: “naming a new fruit photo” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
21. 21.True or false: “flagging a new email” is the model. (a) False (b) True
22. 22.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
23. 23.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
24. 24.⏩ 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
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
26. 26.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
27. 27.True or false: “the trained program” is the model. (a) True (b) False
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) flagging a new email
32. 32.True or false: “past weather records” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
34. 34.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
35. 35.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
36. 36.True or false: “what training builds” is the model. (a) False (b) True
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
38. 38.⏩ 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
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf

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