AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 58 · 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: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
2. 2.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
6. 6.True or false: “the trained program” is a prediction. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is the model? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) past weather records
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “the trained program” is the model. (a) False (b) True
11. 11.🔮 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
12. 12.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
17. 17.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) the trained program
18. 18.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
25. 25.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
26. 26.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
28. 28.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
32. 32.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
36. 36.⏩ 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
37. 37.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new leaf
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
39. 39.True or false: “past weather records” is training data. (a) False (b) True
40. 40.True or false: “the trained program” is training data. (a) False (b) True

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