AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 946 · 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: “what training builds” is training data. (a) True (b) False
2. 2.True or false: “the trained program” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
4. 4.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
5. 5.True or false: “old emails marked spam” is a prediction. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
7. 7.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
8. 8.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
9. 9.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) 500 labelled leaf photos (d) past weather records
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
12. 12.🧪 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
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
15. 15.True or false: “old emails marked spam” is the model. (a) True (b) False
16. 16.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
18. 18.Which of these is training data? (a) what training builds (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
21. 21.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) typing a new spoken word (d) what training builds
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
23. 23.True or false: “naming a new fruit photo” is the model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
25. 25.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) flagging a new email
26. 26.True or false: “flagging a new email” is training data. (a) True (b) False
27. 27.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) typing a new spoken word (d) old emails marked spam
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
29. 29.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) typing a new spoken word (d) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
31. 31.True or false: “the learned patterns” is the model. (a) True (b) False
32. 32.True or false: “what training builds” is the model. (a) False (b) True
33. 33.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) labelled fruit photos (d) past weather records
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
36. 36.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
38. 38.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word

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