AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 416 · 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: “flagging a new email” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) flagging a new email
7. 7.Which of these is the model? (a) what training builds (b) recorded spoken words (c) past weather records (d) naming a new leaf
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
12. 12.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
13. 13.True or false: “the trained program” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) typing a new spoken word (d) past weather records
15. 15.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
16. 16.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) old emails marked spam
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) past weather records (d) what training builds
19. 19.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “naming a new leaf” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
29. 29.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
30. 30.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
31. 31.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “labelled fruit photos” is the model. (a) True (b) False
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 a prediction? (a) past weather records (b) tomorrow’s rain guess (c) recorded spoken words (d) the learned patterns
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: “recorded spoken words”? (a) training data (b) a prediction (c) the model
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
39. 39.⏩ 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
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) flagging a new email (d) the trained program

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