AI Worksheet: Training Data, Model, Prediction

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

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