AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 728 · 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, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
2. 2.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
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.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
8. 8.⏩ 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
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is training data? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) flagging a new email
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) flagging a new email (d) the trained program
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
17. 17.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
18. 18.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
19. 19.True or false: “old emails marked spam” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) past weather records
22. 22.⏩ 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
23. 23.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
24. 24.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) recorded spoken words
27. 27.True or false: “flagging a new email” is a prediction. (a) True (b) False
28. 28.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
31. 31.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
32. 32.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
33. 33.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) 500 labelled leaf photos (d) tomorrow’s rain guess
34. 34.True or false: “recorded spoken words” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
38. 38.Which of these is training data? (a) the trained program (b) old emails marked spam (c) flagging a new email (d) tomorrow’s rain guess
39. 39.True or false: “past weather records” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email

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