AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 894 · 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.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
2. 2.Which of these is training data? (a) past weather records (b) the trained program (c) typing a new spoken word (d) what training builds
3. 3.🔮 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
4. 4.⏩ 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
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “flagging a new email” is the model. (a) True (b) False
10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) what training builds
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “labelled fruit photos” is training data. (a) True (b) False
13. 13.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
14. 14.True or false: “recorded spoken words” is training data. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
16. 16.True or false: “past weather records” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
18. 18.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
19. 19.Which of these is the model? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) 500 labelled leaf photos
20. 20.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
22. 22.True or false: “naming a new leaf” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
27. 27.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
32. 32.True or false: “old emails marked spam” is training data. (a) False (b) True
33. 33.⏩ 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
34. 34.True or false: “naming a new leaf” is training data. (a) True (b) False
35. 35.True or false: “the trained program” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
37. 37.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos

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