AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 808 · 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: “old emails marked spam”? (a) training data (b) the model (c) a prediction
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
3. 3.True or false: “the learned patterns” is training data. (a) True (b) False
4. 4.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
6. 6.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) old emails marked spam
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
8. 8.True or false: “old emails marked spam” is training data. (a) True (b) False
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
10. 10.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) past weather records
11. 11.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
13. 13.Which of these is the model? (a) recorded spoken words (b) past weather records (c) naming a new leaf (d) the trained program
14. 14.True or false: “naming a new fruit photo” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
16. 16.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
19. 19.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) what training builds
20. 20.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
21. 21.True or false: “what training builds” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
23. 23.⏩ 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
24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “the learned patterns” is the model. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) past weather records (d) 500 labelled leaf photos
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
31. 31.True or false: “old emails marked spam” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
33. 33.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
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: “typing a new spoken word” is training data. (a) False (b) True
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
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 leaf (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
39. 39.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data

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