AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 162 · 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.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
2. 2.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
3. 3.True or false: “what training builds” is the model. (a) False (b) True
4. 4.True or false: “past weather records” is training data. (a) False (b) True
5. 5.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
6. 6.⏩ 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
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
8. 8.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
12. 12.True or false: “naming a new leaf” is training data. (a) True (b) False
13. 13.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) recorded spoken words
14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
15. 15.True or false: “recorded spoken words” is the model. (a) True (b) False
16. 16.True or false: “old emails marked spam” is the model. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
18. 18.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) labelled fruit photos (d) the trained program
19. 19.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
21. 21.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) the trained program
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) flagging a new email
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) past weather records (d) flagging a new email
25. 25.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) past weather records (d) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
27. 27.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
28. 28.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) the trained program
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) recorded spoken words (d) past weather records
32. 32.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
33. 33.True or false: “past weather records” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
35. 35.True or false: “the trained program” is the model. (a) False (b) True
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
38. 38.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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