AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 684 · 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) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
3. 3.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) tomorrow’s rain guess
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
5. 5.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) flagging a new email
6. 6.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
7. 7.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
12. 12.True or false: “what training builds” is the model. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
16. 16.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
17. 17.True or false: “the learned patterns” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
19. 19.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
21. 21.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
24. 24.True or false: “flagging a new email” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) past weather records
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
30. 30.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
31. 31.True or false: “the trained program” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
33. 33.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
34. 34.True or false: “flagging a new email” is a prediction. (a) True (b) False
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
37. 37.True or false: “the learned patterns” is the model. (a) False (b) True
38. 38.True or false: “past weather records” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
40. 40.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns

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