AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 999 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
2. 2.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
3. 3.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
4. 4.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “past weather records” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
8. 8.Which of these is training data? (a) flagging a new email (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
11. 11.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
12. 12.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
13. 13.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
14. 14.⏩ 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
15. 15.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
18. 18.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
20. 20.True or false: “recorded spoken words” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.True or false: “typing a new spoken word” is the model. (a) True (b) False
25. 25.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
27. 27.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) old emails marked spam (d) what training builds
28. 28.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
30. 30.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
31. 31.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) the trained program
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
33. 33.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
34. 34.True or false: “naming a new leaf” is training data. (a) False (b) True
35. 35.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
37. 37.True or false: “the trained program” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
39. 39.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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