AI Worksheet: Training Data, Model, Prediction

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

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