AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 610 · 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) data, prediction, model (c) model, prediction, data (d) data, model, prediction
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
5. 5.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
6. 6.True or false: “old emails marked spam” is a prediction. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
8. 8.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
9. 9.⏩ 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
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new fruit photo (d) the learned patterns
18. 18.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
22. 22.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) naming a new leaf
23. 23.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
27. 27.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) 500 labelled leaf photos (d) what training builds
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
29. 29.True or false: “flagging a new email” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
31. 31.Which of these is the model? (a) past weather records (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
34. 34.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
35. 35.⏩ 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
36. 36.True or false: “recorded spoken words” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
40. 40.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos

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