AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 477 · 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 prints labels (b) it learns patterns (c) it charges up (d) it takes photos
2. 2.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) naming a new fruit photo
5. 5.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
6. 6.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) recorded spoken words (d) flagging a new email
7. 7.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
10. 10.True or false: “the trained program” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
13. 13.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is training data? (a) past weather records (b) what training builds (c) the learned patterns (d) typing a new spoken word
16. 16.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) past weather records
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
19. 19.🧪 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
20. 20.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
21. 21.True or false: “naming a new leaf” is a prediction. (a) False (b) True
22. 22.True or false: “old emails marked spam” is the model. (a) False (b) True
23. 23.True or false: “old emails marked spam” is a prediction. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “the learned patterns” is a prediction. (a) False (b) True
28. 28.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
29. 29.True or false: “recorded spoken words” is a prediction. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) old emails marked spam (d) recorded spoken words
32. 32.True or false: “labelled fruit photos” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
35. 35.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) old emails marked spam (d) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
37. 37.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
40. 40.True or false: “flagging a new email” is a prediction. (a) True (b) False

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