AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 898 · 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) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
3. 3.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
6. 6.⏩ 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
7. 7.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
8. 8.True or false: “the trained program” is the model. (a) False (b) True
9. 9.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
14. 14.True or false: “naming a new leaf” is a prediction. (a) True (b) False
15. 15.⏩ 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
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) labelled fruit photos (d) naming a new leaf
18. 18.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) flagging a new email (d) the trained program
19. 19.Which of these is the model? (a) past weather records (b) what training builds (c) old emails marked spam (d) labelled fruit photos
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
21. 21.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) old emails marked spam (d) naming a new fruit photo
22. 22.True or false: “naming a new leaf” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new leaf (d) the learned patterns
25. 25.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
26. 26.True or false: “past weather records” is training data. (a) True (b) False
27. 27.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the learned patterns
28. 28.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
31. 31.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
33. 33.⏩ 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
34. 34.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new leaf (d) typing a new spoken word
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
38. 38.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) the trained program
39. 39.True or false: “old emails marked spam” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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