AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 585 · 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: “typing a new spoken word” is training data. (a) True (b) False
2. 2.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) flagging a new email (d) labelled fruit photos
3. 3.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
5. 5.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) the trained program
6. 6.True or false: “recorded spoken words” is the model. (a) False (b) True
7. 7.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
11. 11.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
14. 14.⏩ 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
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
17. 17.True or false: “typing a new spoken word” is the model. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
19. 19.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
21. 21.Which of these is training data? (a) the trained program (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
22. 22.True or false: “old emails marked spam” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “what training builds” is a prediction. (a) False (b) True
28. 28.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
30. 30.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
31. 31.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
32. 32.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
33. 33.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) the trained program
34. 34.True or false: “recorded spoken words” is a prediction. (a) True (b) False
35. 35.Which of these is training data? (a) what training builds (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
36. 36.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False

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