AI Worksheet: Training Data, Model, Prediction

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

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