AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 762 · 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.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
3. 3.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
5. 5.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) the trained program (d) old emails marked spam
6. 6.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
7. 7.True or false: “past weather records” is the model. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
10. 10.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
11. 11.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
13. 13.True or false: “the trained program” is the model. (a) False (b) True
14. 14.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new leaf
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
16. 16.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) what training builds
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
18. 18.True or false: “recorded spoken words” is a prediction. (a) False (b) True
19. 19.True or false: “the trained program” is a prediction. (a) False (b) True
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.⏩ 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
24. 24.True or false: “recorded spoken words” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
28. 28.True or false: “old emails marked spam” is a prediction. (a) False (b) True
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) 500 labelled leaf photos (d) flagging a new email
30. 30.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) tomorrow’s rain guess (d) typing a new spoken word
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
35. 35.Which of these is training data? (a) old emails marked spam (b) the trained program (c) typing a new spoken word (d) naming a new leaf
36. 36.Which of these is a prediction? (a) the trained program (b) past weather records (c) typing a new spoken word (d) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
39. 39.True or false: “typing a new spoken word” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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