AI Worksheet: Training Data, Model, Prediction

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

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