AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 646 · 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.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) typing a new spoken word
2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
3. 3.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) past weather records
4. 4.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) flagging a new email (d) what training builds
9. 9.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
10. 10.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
11. 11.True or false: “old emails marked spam” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
13. 13.True or false: “old emails marked spam” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
15. 15.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
20. 20.True or false: “recorded spoken words” is training data. (a) False (b) True
21. 21.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) naming a new fruit photo
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) the learned patterns
23. 23.True or false: “past weather records” is the model. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “the trained program” is training data. (a) False (b) True
27. 27.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
29. 29.True or false: “the trained program” is a prediction. (a) True (b) False
30. 30.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) the learned patterns
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
34. 34.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) labelled fruit photos (d) the learned patterns
35. 35.Which of these is the model? (a) recorded spoken words (b) the trained program (c) past weather records (d) naming a new leaf
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
39. 39.True or false: “flagging a new email” is a prediction. (a) False (b) True
40. 40.⏩ 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

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