AI Worksheet: Training Data, Model, Prediction

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

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