AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 681 · 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.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “the trained program” is the model. (a) True (b) False
10. 10.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) naming a new fruit photo (d) old emails marked spam
11. 11.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) labelled fruit photos
12. 12.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) recorded spoken words (d) past weather records
13. 13.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
15. 15.🧪 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
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
19. 19.True or false: “past weather records” is the model. (a) False (b) True
20. 20.True or false: “the learned patterns” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
22. 22.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
23. 23.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) naming a new leaf
24. 24.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
26. 26.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) naming a new fruit photo
27. 27.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
28. 28.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) past weather records
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
30. 30.True or false: “labelled fruit photos” is the model. (a) True (b) False
31. 31.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) tomorrow’s rain guess
32. 32.True or false: “naming a new fruit photo” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.True or false: “old emails marked spam” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words

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