AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 941 · 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.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
4. 4.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
5. 5.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
8. 8.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.Which of these is training data? (a) the trained program (b) past weather records (c) the learned patterns (d) naming a new leaf
13. 13.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
14. 14.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) labelled fruit photos (d) naming a new fruit photo
15. 15.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
16. 16.True or false: “past weather records” is a prediction. (a) True (b) False
17. 17.True or false: “flagging a new email” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
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.True or false: “the learned patterns” is the model. (a) True (b) False
22. 22.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
24. 24.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) what training builds
25. 25.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
26. 26.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) what training builds (d) the trained program
27. 27.True or false: “recorded spoken words” is the model. (a) True (b) False
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.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is training data? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) naming a new leaf
31. 31.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
36. 36.True or false: “flagging a new email” is a prediction. (a) False (b) True
37. 37.True or false: “past weather records” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is a prediction? (a) the trained program (b) what training builds (c) flagging a new email (d) labelled fruit photos

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