AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 346 · 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.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) the trained program
2. 2.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the trained program (d) past weather records
8. 8.Which of these is the model? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) flagging a new email
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
10. 10.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
16. 16.🔮 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
17. 17.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
18. 18.True or false: “typing a new spoken word” is the model. (a) True (b) False
19. 19.Which of these is the model? (a) past weather records (b) flagging a new email (c) old emails marked spam (d) the learned patterns
20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the trained program
21. 21.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) the learned patterns
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
23. 23.True or false: “labelled fruit photos” is the model. (a) True (b) False
24. 24.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) recorded spoken words
25. 25.True or false: “the trained program” is the model. (a) True (b) False
26. 26.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new leaf (d) naming a new fruit photo
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “recorded spoken words” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
30. 30.⏩ 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
31. 31.⏩ 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
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
34. 34.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
35. 35.True or false: “the learned patterns” is the model. (a) False (b) True
36. 36.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) what training builds
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction

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