AI Worksheet: Training Data, Model, Prediction

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

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