AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 961 · 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 training data? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) the trained program
2. 2.True or false: “naming a new leaf” is a prediction. (a) True (b) False
3. 3.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) flagging a new email
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
5. 5.⏩ 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
6. 6.True or false: “the trained program” is training data. (a) False (b) True
7. 7.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) naming a new fruit photo (d) typing a new spoken word
8. 8.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) what training builds (d) naming a new leaf
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
12. 12.⏩ 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
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
17. 17.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
18. 18.🧪 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
19. 19.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
21. 21.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
23. 23.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
24. 24.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) past weather records (d) the learned patterns
25. 25.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
26. 26.True or false: “recorded spoken words” is training data. (a) False (b) True
27. 27.True or false: “the trained program” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) what training builds (d) the learned patterns
29. 29.True or false: “naming a new fruit photo” is training data. (a) True (b) False
30. 30.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) naming a new leaf
31. 31.True or false: “old emails marked spam” is training data. (a) False (b) True
32. 32.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
33. 33.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
34. 34.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
38. 38.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
39. 39.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf

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