AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 337 · 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.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
2. 2.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
3. 3.True or false: “past weather records” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) naming a new fruit photo
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is training data? (a) what training builds (b) the trained program (c) past weather records (d) naming a new fruit photo
10. 10.⏩ 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
11. 11.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
13. 13.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
14. 14.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
17. 17.Which of these is the model? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) past weather records
18. 18.True or false: “tomorrow’s rain guess” 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: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
21. 21.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) recorded spoken words
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
23. 23.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
24. 24.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) typing a new spoken word (d) naming a new leaf
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
27. 27.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
28. 28.⏩ 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
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.🧪 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
31. 31.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
34. 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “naming a new leaf” is a prediction. (a) False (b) True
37. 37.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) the trained program (d) 500 labelled leaf photos
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
39. 39.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds

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