AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 59 · 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: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
3. 3.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) past weather records (d) naming a new leaf
4. 4.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
5. 5.True or false: “the learned patterns” is the model. (a) True (b) False
6. 6.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
9. 9.True or false: “old emails marked spam” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
12. 12.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “what training builds” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.True or false: “naming a new leaf” is a prediction. (a) False (b) True
23. 23.True or false: “what training builds” is the model. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
25. 25.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
26. 26.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
27. 27.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) old emails marked spam (d) tomorrow’s rain guess
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
31. 31.True or false: “recorded spoken words” is the model. (a) True (b) False
32. 32.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) flagging a new email (d) past weather records
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
37. 37.⏩ 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
38. 38.True or false: “the trained program” is the model. (a) False (b) True
39. 39.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) 500 labelled leaf photos
40. 40.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) recorded spoken words (d) what training builds

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