AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 261 · 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.True or false: “typing a new spoken word” is the model. (a) False (b) True
2. 2.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
4. 4.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
10. 10.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
14. 14.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) flagging a new email (d) naming a new leaf
16. 16.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
17. 17.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
18. 18.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “what training builds” is the model. (a) True (b) False
21. 21.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
22. 22.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) past weather records (d) the trained program
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
24. 24.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
25. 25.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
28. 28.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
29. 29.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “what training builds” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
40. 40.True or false: “the learned patterns” is a prediction. (a) False (b) True

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