AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 852 · 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: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
5. 5.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) flagging a new email
6. 6.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
7. 7.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) the learned patterns
8. 8.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
10. 10.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) recorded spoken words (d) labelled fruit photos
11. 11.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) flagging a new email (d) the trained program
12. 12.Which of these is training data? (a) the learned patterns (b) past weather records (c) the trained program (d) what training builds
13. 13.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
17. 17.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
18. 18.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) 500 labelled leaf photos
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) flagging a new email (d) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
26. 26.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
27. 27.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the trained program (d) labelled fruit photos
30. 30.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) recorded spoken words
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
37. 37.True or false: “labelled fruit photos” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “labelled fruit photos” is training data. (a) False (b) True
40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

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