AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 45 · 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 happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
2. 2.⏩ 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
3. 3.True or false: “flagging a new email” is a prediction. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
8. 8.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
9. 9.Which of these is training data? (a) flagging a new email (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) flagging a new email (d) 500 labelled leaf photos
12. 12.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
18. 18.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
19. 19.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
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: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
23. 23.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
24. 24.True or false: “flagging a new email” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
27. 27.Which of these is training data? (a) the trained program (b) flagging a new email (c) the learned patterns (d) old emails marked spam
28. 28.True or false: “the learned patterns” is a prediction. (a) False (b) True
29. 29.True or false: “old emails marked spam” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
36. 36.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
37. 37.True or false: “the learned patterns” is the model. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) what training builds
40. 40.⏩ 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

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