AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 275 · 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.True or false: “naming a new leaf” is training data. (a) False (b) True
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
3. 3.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) tomorrow’s rain guess (d) the trained program
4. 4.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) old emails marked spam
8. 8.True or false: “naming a new leaf” is a prediction. (a) False (b) True
9. 9.True or false: “what training builds” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
11. 11.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
13. 13.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) the learned patterns
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “recorded spoken words” is a prediction. (a) False (b) True
18. 18.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
19. 19.True or false: “naming a new fruit photo” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.🔮 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
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
25. 25.⏩ 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
26. 26.Which of these is training data? (a) recorded spoken words (b) the trained program (c) what training builds (d) naming a new fruit photo
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
29. 29.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) 500 labelled leaf photos
30. 30.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
32. 32.Which of these is training data? (a) naming a new leaf (b) what training builds (c) typing a new spoken word (d) old emails marked spam
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “typing a new spoken word” is training data. (a) False (b) True
35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new fruit photo (d) labelled fruit photos
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
38. 38.⏩ 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
39. 39.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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