AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 673 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) the learned patterns
3. 3.True or false: “typing a new spoken word” is the model. (a) True (b) False
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
7. 7.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) flagging a new email (d) 500 labelled leaf photos
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “flagging a new email” is the model. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
11. 11.⏩ 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
12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) what training builds (d) past weather records
13. 13.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) naming a new leaf (d) tomorrow’s rain guess
14. 14.Which of these is a prediction? (a) what training builds (b) past weather records (c) typing a new spoken word (d) the trained program
15. 15.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new fruit photo (d) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
18. 18.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
19. 19.True or false: “old emails marked spam” is a prediction. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
21. 21.True or false: “labelled fruit photos” is the model. (a) False (b) True
22. 22.Which of these is training data? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) naming a new fruit photo
23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
28. 28.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
29. 29.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
30. 30.True or false: “the trained program” is the model. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
32. 32.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
36. 36.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
39. 39.⏩ 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
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data

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