AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 165 · 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) the model (b) a prediction (c) training data
2. 2.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
3. 3.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
5. 5.True or false: “recorded spoken words” is training data. (a) True (b) False
6. 6.True or false: “naming a new fruit photo” is the model. (a) True (b) False
7. 7.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) typing a new spoken word
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
10. 10.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
11. 11.⏩ 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
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is the model? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) recorded spoken words
15. 15.Which of these is the model? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
16. 16.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “naming a new leaf” is a prediction. (a) True (b) False
23. 23.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.True or false: “flagging a new email” is a prediction. (a) True (b) False
26. 26.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) tomorrow’s rain guess
27. 27.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
28. 28.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
29. 29.True or false: “past weather records” is the model. (a) False (b) True
30. 30.True or false: “the learned patterns” is a prediction. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
32. 32.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) the trained program (d) past weather records
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
34. 34.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) 500 labelled leaf photos (d) what training builds
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
36. 36.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
40. 40.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) naming a new leaf (d) what training builds

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