AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 211 · 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: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
2. 2.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
4. 4.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) typing a new spoken word
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
12. 12.True or false: “old emails marked spam” is a prediction. (a) False (b) True
13. 13.True or false: “naming a new fruit photo” is training data. (a) True (b) False
14. 14.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
16. 16.🧪 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
17. 17.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) tomorrow’s rain guess (d) flagging a new email
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
21. 21.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
22. 22.True or false: “naming a new leaf” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
24. 24.True or false: “the learned patterns” is the model. (a) False (b) True
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
27. 27.Which of these is training data? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
28. 28.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) what training builds (d) flagging a new email
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
31. 31.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) the trained program
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
36. 36.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) the trained program (d) naming a new leaf
37. 37.True or false: “what training builds” is training data. (a) False (b) True
38. 38.⏩ 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
39. 39.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data

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