AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 821 · 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: “what training builds”? (a) a prediction (b) the model (c) training data
2. 2.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
3. 3.True or false: “the learned patterns” is training data. (a) False (b) True
4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) the learned patterns (d) past weather records
5. 5.⏩ 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
6. 6.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) naming a new fruit photo
7. 7.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
10. 10.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
11. 11.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) tomorrow’s rain guess
12. 12.⏩ 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
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
15. 15.True or false: “flagging a new email” is training data. (a) False (b) True
16. 16.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) past weather records
17. 17.🔮 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
18. 18.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) recorded spoken words
19. 19.True or false: “what training builds” is the model. (a) True (b) False
20. 20.True or false: “what training builds” is a prediction. (a) False (b) True
21. 21.True or false: “recorded spoken words” is the model. (a) True (b) False
22. 22.True or false: “past weather records” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “past weather records” is a prediction. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
32. 32.True or false: “the learned patterns” is the model. (a) False (b) True
33. 33.True or false: “naming a new leaf” is training data. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “the trained program” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
38. 38.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) 500 labelled leaf photos (d) flagging a new email
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

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