AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 977 · 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 prediction (b) a label error (c) a password (d) training data
2. 2.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) 500 labelled leaf photos
3. 3.Which of these is training data? (a) past weather records (b) what training builds (c) typing a new spoken word (d) flagging a new email
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
8. 8.⏩ 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
9. 9.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) labelled fruit photos (d) flagging a new email
10. 10.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
11. 11.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
14. 14.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
15. 15.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) flagging a new email (d) tomorrow’s rain guess
16. 16.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) past weather records (d) old emails marked spam
20. 20.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “old emails marked spam” is training data. (a) False (b) True
23. 23.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
25. 25.⏩ 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
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new leaf (d) the trained program
28. 28.True or false: “old emails marked spam” is a prediction. (a) True (b) False
29. 29.⏩ 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
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.True or false: “the trained program” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
33. 33.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) past weather records (d) what training builds
34. 34.True or false: “labelled fruit photos” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
36. 36.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words

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