AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 272 · 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.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
2. 2.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) what training builds (d) labelled fruit photos
3. 3.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) recorded spoken words (d) past weather records
4. 4.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) past weather records
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
6. 6.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
7. 7.True or false: “what training builds” is a prediction. (a) False (b) True
8. 8.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) recorded spoken words
9. 9.⏩ 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
10. 10.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
13. 13.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
14. 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
18. 18.True or false: “naming a new leaf” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “what training builds” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
24. 24.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) 500 labelled leaf photos
25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
26. 26.True or false: “the learned patterns” is a prediction. (a) True (b) False
27. 27.⏩ 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
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
29. 29.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
30. 30.Which of these is the model? (a) what training builds (b) flagging a new email (c) tomorrow’s rain guess (d) labelled fruit photos
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
34. 34.True or false: “the learned patterns” is training data. (a) False (b) True
35. 35.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
36. 36.Which of these is training data? (a) past weather records (b) naming a new leaf (c) tomorrow’s rain guess (d) typing a new spoken word
37. 37.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
38. 38.⏩ 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
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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