AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 971 · 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: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
2. 2.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
5. 5.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) recorded spoken words (d) old emails marked spam
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
7. 7.True or false: “the trained program” is the model. (a) False (b) True
8. 8.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
14. 14.Which of these is the model? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
16. 16.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
17. 17.Which of these is training data? (a) the learned patterns (b) past weather records (c) what training builds (d) tomorrow’s rain guess
18. 18.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new leaf (d) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is the model? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
23. 23.True or false: “naming a new fruit photo” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
26. 26.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
28. 28.True or false: “recorded spoken words” is a prediction. (a) True (b) False
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
34. 34.True or false: “past weather records” is a prediction. (a) True (b) False
35. 35.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) typing a new spoken word (d) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
37. 37.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
40. 40.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns

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