AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 662 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
7. 7.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
8. 8.🧪 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
9. 9.True or false: “the learned patterns” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
14. 14.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
15. 15.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
20. 20.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) typing a new spoken word (d) the learned patterns
21. 21.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) the trained program (d) naming a new fruit photo
22. 22.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) recorded spoken words
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
28. 28.True or false: “past weather records” is the model. (a) False (b) True
29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) flagging a new email
31. 31.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new leaf (d) labelled fruit photos
32. 32.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
33. 33.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
34. 34.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
35. 35.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
36. 36.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
39. 39.True or false: “the trained program” is the model. (a) False (b) True
40. 40.True or false: “old emails marked spam” is the model. (a) False (b) True

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