AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 939 · 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: “500 labelled leaf photos” is training data. (a) True (b) False
2. 2.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) flagging a new email (d) the trained program
3. 3.True or false: “the trained program” is the model. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
5. 5.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
6. 6.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) old emails marked spam
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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
10. 10.Which of these is the model? (a) the trained program (b) old emails marked spam (c) past weather records (d) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
12. 12.True or false: “flagging a new email” is the model. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
15. 15.True or false: “naming a new leaf” is a prediction. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
18. 18.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
20. 20.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
21. 21.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
22. 22.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) naming a new leaf (d) the learned patterns
23. 23.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
24. 24.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) old emails marked spam (d) recorded spoken words
25. 25.True or false: “recorded spoken words” is the model. (a) False (b) True
26. 26.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) typing a new spoken word (d) the trained program
27. 27.True or false: “what training builds” is the model. (a) False (b) True
28. 28.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) the trained program
29. 29.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
30. 30.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
33. 33.True or false: “recorded spoken words” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
35. 35.Which of these is the model? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
36. 36.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) recorded spoken words (d) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
38. 38.True or false: “past weather records” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
40. 40.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model

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