AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 581 · 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.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
6. 6.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
8. 8.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
9. 9.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
10. 10.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
11. 11.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) the trained program (d) the learned patterns
12. 12.Which of these is the model? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) typing a new spoken word
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
14. 14.True or false: “naming a new leaf” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
16. 16.True or false: “recorded spoken words” is the model. (a) False (b) True
17. 17.True or false: “the learned patterns” is a prediction. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
20. 20.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
21. 21.True or false: “what training builds” is the model. (a) True (b) False
22. 22.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
23. 23.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
24. 24.⏩ 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
25. 25.True or false: “the learned patterns” is the model. (a) False (b) True
26. 26.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
30. 30.⏩ 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
31. 31.True or false: “old emails marked spam” is the model. (a) True (b) False
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “past weather records” is training data. (a) True (b) False
36. 36.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
37. 37.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
39. 39.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
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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