AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 962 · 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: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
9. 9.Which of these is training data? (a) past weather records (b) the trained program (c) naming a new leaf (d) what training builds
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
12. 12.True or false: “labelled fruit photos” is training data. (a) False (b) True
13. 13.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
15. 15.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
16. 16.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
19. 19.True or false: “the trained program” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
24. 24.True or false: “old emails marked spam” is the model. (a) False (b) True
25. 25.⏩ 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
26. 26.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) naming a new fruit photo (d) what training builds
27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
28. 28.Which of these is a prediction? (a) past weather records (b) what training builds (c) old emails marked spam (d) naming a new fruit photo
29. 29.True or false: “naming a new fruit photo” is the model. (a) False (b) True
30. 30.True or false: “the learned patterns” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
36. 36.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) flagging a new email (d) labelled fruit photos
37. 37.True or false: “labelled fruit photos” is the model. (a) True (b) False
38. 38.⏩ 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
39. 39.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
40. 40.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos

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