AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 394 · 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 training data? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) the learned patterns
2. 2.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “naming a new leaf” is the model. (a) True (b) False
5. 5.True or false: “old emails marked spam” is training data. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
13. 13.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
14. 14.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) tomorrow’s rain guess (d) 500 labelled leaf photos
15. 15.Which of these is training data? (a) naming a new leaf (b) the trained program (c) typing a new spoken word (d) past weather records
16. 16.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, 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 training data? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
19. 19.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
22. 22.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) what training builds (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (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.True or false: “what training builds” is the model. (a) False (b) True
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
30. 30.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
31. 31.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
32. 32.True or false: “naming a new fruit photo” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
36. 36.True or false: “recorded spoken words” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
39. 39.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) what training builds (d) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds

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