AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 676 · 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: “past weather records”? (a) training data (b) the model (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
4. 4.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
6. 6.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
8. 8.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
9. 9.True or false: “typing a new spoken word” is training data. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
11. 11.⏩ 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
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) the learned patterns (d) what training builds
13. 13.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) labelled fruit photos
14. 14.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
15. 15.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
16. 16.True or false: “labelled fruit photos” is training data. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
20. 20.True or false: “old emails marked spam” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
25. 25.Which of these is the model? (a) naming a new leaf (b) past weather records (c) 500 labelled leaf photos (d) what training builds
26. 26.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
27. 27.Which of these is training data? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) the learned patterns
28. 28.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
29. 29.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
30. 30.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
31. 31.True or false: “what training builds” is a prediction. (a) True (b) False
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
33. 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
34. 34.Which of these is training data? (a) flagging a new email (b) past weather records (c) the learned patterns (d) the trained program
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
38. 38.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
39. 39.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
40. 40.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos

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