AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 125 · 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: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
2. 2.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) naming a new leaf
3. 3.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
4. 4.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “naming a new leaf” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
15. 15.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) the trained program (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
17. 17.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) naming a new leaf
20. 20.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
22. 22.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) 500 labelled leaf photos
23. 23.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
24. 24.Which of these is a prediction? (a) the trained program (b) what training builds (c) old emails marked spam (d) naming a new leaf
25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
26. 26.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
29. 29.⏩ 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
30. 30.True or false: “typing a new spoken word” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “past weather records” is a prediction. (a) False (b) True
33. 33.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) labelled fruit photos (d) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “the trained program” is the model. (a) True (b) False
39. 39.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
40. 40.True or false: “old emails marked spam” is a prediction. (a) False (b) True

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