AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 177 · 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.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
2. 2.True or false: “what training builds” is the model. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
7. 7.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
8. 8.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) labelled fruit photos (d) past weather records
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “naming a new leaf” is training data. (a) True (b) False
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
13. 13.True or false: “what training builds” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
18. 18.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) recorded spoken words
19. 19.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
20. 20.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the trained program (d) past weather records
21. 21.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) naming a new leaf
22. 22.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) typing a new spoken word
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
24. 24.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
25. 25.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) labelled fruit photos (d) what training builds
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “recorded spoken words” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “old emails marked spam” is a prediction. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) flagging a new email (d) the trained program
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
33. 33.True or false: “old emails marked spam” is the model. (a) True (b) False
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
37. 37.Which of these is training data? (a) the trained program (b) the learned patterns (c) typing a new spoken word (d) recorded spoken words
38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
39. 39.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

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