AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 998 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new leaf (d) typing a new spoken word
3. 3.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
4. 4.True or false: “past weather records” is the model. (a) True (b) False
5. 5.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
8. 8.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
9. 9.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
16. 16.⏩ 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
17. 17.True or false: “flagging a new email” is training data. (a) True (b) False
18. 18.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
19. 19.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) labelled fruit photos (d) the trained program
20. 20.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
22. 22.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
23. 23.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) old emails marked spam
24. 24.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) what training builds
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
31. 31.⏩ 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
32. 32.True or false: “labelled fruit photos” is training data. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “the learned patterns” is training data. (a) True (b) False
35. 35.True or false: “old emails marked spam” is the model. (a) False (b) True
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) recorded spoken words
39. 39.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) labelled fruit photos (d) the trained program
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction

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