AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 517 · 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: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
3. 3.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
4. 4.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) tomorrow’s rain guess
5. 5.True or false: “the learned patterns” is the model. (a) True (b) False
6. 6.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
7. 7.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
8. 8.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
9. 9.True or false: “naming a new fruit photo” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
12. 12.True or false: “labelled fruit photos” is training data. (a) False (b) True
13. 13.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) old emails marked spam
14. 14.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
17. 17.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “naming a new fruit photo” is the model. (a) False (b) True
21. 21.True or false: “old emails marked spam” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
24. 24.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) past weather records
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
26. 26.True or false: “naming a new leaf” is the model. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
28. 28.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) flagging a new email
29. 29.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) flagging a new email (d) the trained program
30. 30.True or false: “the learned patterns” is training data. (a) True (b) False
31. 31.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
32. 32.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
34. 34.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) old emails marked spam
37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
39. 39.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

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