AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 991 · 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.🧪 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
2. 2.Which of these is training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
5. 5.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) 500 labelled leaf photos
6. 6.True or false: “typing a new spoken word” is training data. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
9. 9.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
12. 12.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) old emails marked spam (d) what training builds
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
14. 14.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
15. 15.⏩ 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
16. 16.True or false: “recorded spoken words” is a prediction. (a) True (b) False
17. 17.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
18. 18.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
21. 21.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
27. 27.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) tomorrow’s rain guess
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
31. 31.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “past weather records” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
35. 35.True or false: “past weather records” is the model. (a) True (b) False
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
39. 39.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf

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