AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 958 · 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.⏩ 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
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
4. 4.⏩ 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
5. 5.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
6. 6.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) typing a new spoken word (d) the trained program
7. 7.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
10. 10.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) the trained program
11. 11.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) naming a new leaf
12. 12.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
14. 14.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
15. 15.True or false: “what training builds” is the model. (a) False (b) True
16. 16.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
18. 18.True or false: “recorded spoken words” is a prediction. (a) False (b) True
19. 19.Which of these is the model? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) old emails marked spam (d) naming a new fruit photo
23. 23.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
24. 24.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “naming a new fruit photo” is training data. (a) True (b) False
27. 27.True or false: “typing a new spoken word” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
30. 30.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) past weather records
31. 31.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the trained program (d) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
34. 34.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is training data? (a) what training builds (b) the trained program (c) flagging a new email (d) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
38. 38.True or false: “naming a new leaf” is a prediction. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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