AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 452 · 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: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
2. 2.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “old emails marked spam” is training data. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
7. 7.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
9. 9.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
10. 10.True or false: “flagging a new email” is the model. (a) False (b) True
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
12. 12.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) recorded spoken words (d) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
17. 17.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) naming a new leaf
18. 18.True or false: “naming a new fruit photo” is training data. (a) True (b) False
19. 19.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
20. 20.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
21. 21.⏩ 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
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
25. 25.⏩ 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
26. 26.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) flagging a new email (d) the trained program
27. 27.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
28. 28.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
29. 29.⏩ 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
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new fruit photo
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “typing a new spoken word” is training data. (a) True (b) False
36. 36.True or false: “naming a new leaf” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
38. 38.True or false: “naming a new leaf” is a prediction. (a) True (b) False
39. 39.True or false: “recorded spoken words” is the model. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data

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