AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 256 · 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 fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
2. 2.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
3. 3.Which of these is the model? (a) flagging a new email (b) naming a new fruit photo (c) the learned patterns (d) tomorrow’s rain guess
4. 4.Which of these is training data? (a) the learned patterns (b) the trained program (c) tomorrow’s rain guess (d) past weather records
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
6. 6.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
7. 7.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) tomorrow’s rain guess
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
9. 9.True or false: “flagging a new email” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
11. 11.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
12. 12.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
15. 15.True or false: “typing a new spoken word” is the model. (a) False (b) True
16. 16.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new fruit photo (d) past weather records
17. 17.True or false: “the trained program” is a prediction. (a) True (b) False
18. 18.Which of these is training data? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
20. 20.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
21. 21.True or false: “recorded spoken words” is the model. (a) True (b) False
22. 22.🧪 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
23. 23.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
24. 24.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
27. 27.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
29. 29.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) naming a new fruit photo
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
31. 31.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
32. 32.True or false: “naming a new leaf” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “what training builds” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.True or false: “recorded spoken words” is training data. (a) False (b) True
38. 38.True or false: “labelled fruit photos” is training data. (a) False (b) True
39. 39.True or false: “old emails marked spam” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos

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