AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 396 · 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: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
4. 4.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) past weather records
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
6. 6.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
7. 7.True or false: “naming a new leaf” is a prediction. (a) True (b) False
8. 8.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
10. 10.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
13. 13.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) past weather records
14. 14.True or false: “the trained program” is training data. (a) True (b) False
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
16. 16.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) the trained program
17. 17.True or false: “past weather records” is training data. (a) False (b) True
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
21. 21.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
23. 23.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
24. 24.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) old emails marked spam (d) flagging a new email
25. 25.True or false: “past weather records” is the model. (a) False (b) True
26. 26.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
27. 27.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
28. 28.True or false: “the trained program” is a prediction. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
31. 31.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) the trained program (d) naming a new leaf
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “old emails marked spam” is training data. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
38. 38.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “recorded spoken words” is training data. (a) True (b) False

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