AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 984 · 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.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) the trained program (d) old emails marked spam
2. 2.True or false: “labelled fruit photos” is the model. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is the model? (a) what training builds (b) naming a new leaf (c) typing a new spoken word (d) flagging a new email
5. 5.True or false: “labelled fruit photos” is training data. (a) False (b) True
6. 6.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) flagging a new email
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
10. 10.True or false: “naming a new fruit photo” is training data. (a) False (b) True
11. 11.True or false: “recorded spoken words” is a prediction. (a) True (b) False
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) old emails marked spam (d) flagging a new email
14. 14.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) past weather records
15. 15.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
16. 16.Which of these is training data? (a) naming a new leaf (b) what training builds (c) labelled fruit photos (d) flagging a new email
17. 17.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
18. 18.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “flagging a new email” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “old emails marked spam” is a prediction. (a) True (b) False
23. 23.🔮 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
24. 24.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
25. 25.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
26. 26.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) old emails marked spam (d) the trained program
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “typing a new spoken word” is the model. (a) False (b) True
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.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
35. 35.True or false: “what training builds” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
38. 38.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) old emails marked spam
39. 39.⏩ 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
40. 40.True or false: “the trained program” is training data. (a) False (b) True

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