AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 657 · 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) a password (b) a prediction (c) training data (d) a label error
2. 2.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) labelled fruit photos
3. 3.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
5. 5.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) labelled fruit photos
6. 6.True or false: “naming a new leaf” is training data. (a) True (b) False
7. 7.True or false: “naming a new fruit photo” is training data. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
9. 9.True or false: “labelled fruit photos” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is training data? (a) naming a new leaf (b) the trained program (c) what training builds (d) 500 labelled leaf photos
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
14. 14.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
16. 16.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) past weather records (d) naming a new leaf
19. 19.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) old emails marked spam (d) flagging a new email
20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) typing a new spoken word
21. 21.True or false: “naming a new fruit photo” is the model. (a) False (b) True
22. 22.True or false: “labelled fruit photos” is the model. (a) False (b) True
23. 23.🧪 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
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) labelled fruit photos (d) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
27. 27.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
29. 29.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
30. 30.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “flagging a new email” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
37. 37.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “past weather records” is training data. (a) False (b) True
40. 40.⏩ 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

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