AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 430 · 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 a prediction. (a) False (b) True
2. 2.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
3. 3.True or false: “typing a new spoken word” is the model. (a) True (b) False
4. 4.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
5. 5.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
6. 6.Which of these is training data? (a) the trained program (b) naming a new leaf (c) typing a new spoken word (d) past weather records
7. 7.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) labelled fruit photos (d) the trained program
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “what training builds” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
12. 12.🔮 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
13. 13.True or false: “flagging a new email” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
16. 16.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) old emails marked spam (d) what training builds
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
18. 18.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “the learned patterns” is training data. (a) True (b) False
23. 23.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the trained program (d) past weather records
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) tomorrow’s rain guess
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
27. 27.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) 500 labelled leaf photos (d) typing a new spoken word
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.True or false: “past weather records” is the model. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
34. 34.True or false: “naming a new fruit photo” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
36. 36.True or false: “what training builds” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
40. 40.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) past weather records

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