AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 607 · 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) what training builds (b) tomorrow’s rain guess (c) past weather records (d) naming a new fruit photo
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
5. 5.⏩ 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
6. 6.⏩ 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
7. 7.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
9. 9.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) past weather records
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
11. 11.True or false: “labelled fruit photos” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
13. 13.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
14. 14.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) flagging a new email
15. 15.⏩ 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
16. 16.True or false: “old emails marked spam” is a prediction. (a) True (b) False
17. 17.True or false: “recorded spoken words” is training data. (a) True (b) False
18. 18.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) past weather records (d) old emails marked spam
19. 19.True or false: “what training builds” is a prediction. (a) True (b) False
20. 20.Which of these is the model? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) flagging a new email
21. 21.True or false: “typing a new spoken word” is the model. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
23. 23.⏩ 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
24. 24.True or false: “naming a new leaf” is the model. (a) True (b) False
25. 25.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
30. 30.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) 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: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
34. 34.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
39. 39.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
40. 40.True or false: “past weather records” is the model. (a) True (b) False

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