AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 805 · 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.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) flagging a new email
2. 2.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
3. 3.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
4. 4.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
6. 6.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) 500 labelled leaf photos
7. 7.⏩ 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
8. 8.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
9. 9.True or false: “what training builds” is training data. (a) True (b) False
10. 10.True or false: “labelled fruit photos” is the model. (a) False (b) True
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
14. 14.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
16. 16.True or false: “recorded spoken words” is training data. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
19. 19.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
20. 20.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
22. 22.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
23. 23.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
29. 29.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
39. 39.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) the trained program (d) tomorrow’s rain guess
40. 40.True or false: “the trained program” is the model. (a) True (b) False

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