AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 886 · 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: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) recorded spoken words (d) the learned patterns
6. 6.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
7. 7.True or false: “old emails marked spam” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
12. 12.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
13. 13.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
14. 14.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
17. 17.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
22. 22.Which of these is training data? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) naming a new leaf
23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
25. 25.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.Which of these is the model? (a) old emails marked spam (b) the trained program (c) labelled fruit photos (d) flagging a new email
31. 31.⏩ 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
32. 32.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
33. 33.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) flagging a new email (d) past weather records
34. 34.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
35. 35.True or false: “the trained program” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “past weather records” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
39. 39.True or false: “labelled fruit photos” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo

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