AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 212 · 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.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
5. 5.True or false: “old emails marked spam” is training data. (a) True (b) False
6. 6.True or false: “what training builds” is a prediction. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
8. 8.Which of these is training data? (a) what training builds (b) old emails marked spam (c) naming a new leaf (d) naming a new fruit photo
9. 9.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) labelled fruit photos (d) tomorrow’s rain guess
14. 14.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) flagging a new email
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
16. 16.True or false: “the learned patterns” is training data. (a) True (b) False
17. 17.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) flagging a new email (d) what training builds
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
20. 20.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.True or false: “the learned patterns” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
24. 24.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “flagging a new email” is a prediction. (a) False (b) True
27. 27.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) recorded spoken words (d) the trained program
28. 28.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) tomorrow’s rain guess (d) the learned patterns
29. 29.True or false: “past weather records” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
32. 32.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new fruit photo (d) naming a new leaf
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
35. 35.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
36. 36.True or false: “past weather records” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.True or false: “the trained program” is a prediction. (a) True (b) False
39. 39.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
40. 40.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) labelled fruit photos

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