AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 412 · 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: “500 labelled leaf photos” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
5. 5.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) what training builds (d) 500 labelled leaf photos
8. 8.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) typing a new spoken word (d) the trained program
9. 9.⏩ 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
10. 10.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) flagging a new email (d) what training builds
11. 11.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is the model? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
15. 15.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.True or false: “the learned patterns” is a prediction. (a) True (b) False
18. 18.True or false: “typing a new spoken word” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
21. 21.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
22. 22.True or false: “what training builds” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
24. 24.True or false: “what training builds” is training data. (a) True (b) False
25. 25.True or false: “naming a new leaf” is a prediction. (a) False (b) True
26. 26.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
27. 27.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) what training builds
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos
30. 30.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
31. 31.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) flagging a new email (d) naming a new leaf
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
35. 35.⏩ 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
36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
37. 37.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) past weather records (d) what training builds
38. 38.True or false: “labelled fruit photos” is training data. (a) True (b) False
39. 39.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) past weather records (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf

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