AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 282 · 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: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
2. 2.True or false: “recorded spoken words” is a prediction. (a) True (b) False
3. 3.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
4. 4.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
5. 5.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
6. 6.Which of these is the model? (a) the trained program (b) flagging a new email (c) tomorrow’s rain guess (d) past weather records
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
8. 8.True or false: “past weather records” is the model. (a) False (b) True
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “naming a new leaf” is a prediction. (a) False (b) True
13. 13.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
14. 14.🧪 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
15. 15.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
17. 17.⏩ 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
18. 18.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new leaf (d) flagging a new email
19. 19.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
20. 20.⏩ 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
21. 21.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
22. 22.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) the trained program
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
25. 25.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
27. 27.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
29. 29.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
30. 30.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) the learned patterns (d) typing a new spoken word
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
32. 32.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
35. 35.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
36. 36.True or false: “what training builds” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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