AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 825 · 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) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
3. 3.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) typing a new spoken word (d) what training builds
6. 6.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
7. 7.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
8. 8.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
9. 9.True or false: “the trained program” is a prediction. (a) True (b) False
10. 10.⏩ 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
11. 11.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) past weather records
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) old emails marked spam (d) naming a new leaf
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
14. 14.True or false: “recorded spoken words” is a prediction. (a) True (b) False
15. 15.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) what training builds
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
17. 17.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “labelled fruit photos” is training data. (a) True (b) False
21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) naming a new fruit photo
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
27. 27.Which of these is the model? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) typing a new spoken word
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.⏩ 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
32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
35. 35.True or false: “naming a new leaf” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
37. 37.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
38. 38.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) the trained program (d) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
40. 40.True or false: “the trained program” is training data. (a) True (b) False

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