AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 472 · 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) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
3. 3.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) naming a new leaf
4. 4.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
5. 5.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
6. 6.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
8. 8.⏩ 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
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “flagging a new email” is a prediction. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) what training builds (d) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
19. 19.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
21. 21.⏩ 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
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
27. 27.True or false: “recorded spoken words” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
32. 32.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
33. 33.⏩ 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
34. 34.True or false: “naming a new leaf” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
36. 36.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
37. 37.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) naming a new leaf
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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