AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 613 · 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 a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) recorded spoken words (d) naming a new leaf
2. 2.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
5. 5.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) flagging a new email (d) tomorrow’s rain guess
8. 8.True or false: “naming a new leaf” is training data. (a) False (b) True
9. 9.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
11. 11.⏩ 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
12. 12.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
14. 14.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
15. 15.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
18. 18.True or false: “old emails marked spam” is training data. (a) True (b) False
19. 19.True or false: “flagging a new email” is a prediction. (a) False (b) True
20. 20.🧪 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
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
22. 22.True or false: “past weather records” is training data. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
32. 32.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
34. 34.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
39. 39.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
40. 40.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) the trained program (d) past weather records

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