AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 42 · 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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
3. 3.True or false: “labelled fruit photos” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
5. 5.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
10. 10.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
11. 11.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) labelled fruit photos (d) 500 labelled leaf photos
12. 12.True or false: “past weather records” is training data. (a) True (b) False
13. 13.⏩ 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
14. 14.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
17. 17.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is a prediction? (a) what training builds (b) the trained program (c) flagging a new email (d) the learned patterns
21. 21.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
23. 23.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
24. 24.⏩ 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
25. 25.Which of these is training data? (a) the learned patterns (b) what training builds (c) past weather records (d) tomorrow’s rain guess
26. 26.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
27. 27.True or false: “old emails marked spam” is the model. (a) True (b) False
28. 28.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) typing a new spoken word
29. 29.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
32. 32.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
33. 33.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) past weather records
34. 34.Which of these is the model? (a) the trained program (b) past weather records (c) typing a new spoken word (d) flagging a new email
35. 35.True or false: “recorded spoken words” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
37. 37.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
39. 39.Which of these is training data? (a) the trained program (b) the learned patterns (c) typing a new spoken word (d) recorded spoken words
40. 40.True or false: “naming a new leaf” is a prediction. (a) False (b) True

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