AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 520 · 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.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
2. 2.True or false: “the trained program” is the model. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
5. 5.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
6. 6.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
9. 9.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
10. 10.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) flagging a new email (d) recorded spoken words
11. 11.True or false: “flagging a new email” is a prediction. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) 500 labelled leaf photos (d) tomorrow’s rain guess
13. 13.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
15. 15.⏩ 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
16. 16.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
19. 19.Which of these is training data? (a) what training builds (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
20. 20.True or false: “naming a new leaf” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
23. 23.🔮 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
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “naming a new leaf” is a prediction. (a) True (b) False
27. 27.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) past weather records
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “recorded spoken words” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
32. 32.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
34. 34.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) tomorrow’s rain guess (d) past weather records
35. 35.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) old emails marked spam (d) recorded spoken words
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
38. 38.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
40. 40.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True

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