AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 405 · 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: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
3. 3.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
4. 4.True or false: “the trained program” is training data. (a) False (b) True
5. 5.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) the trained program
6. 6.🧪 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
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) the trained program (d) what training builds
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
10. 10.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
14. 14.True or false: “past weather records” is a prediction. (a) False (b) True
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) naming a new fruit photo
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
18. 18.True or false: “flagging a new email” is training data. (a) False (b) True
19. 19.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
21. 21.🔮 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
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
25. 25.⏩ 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
26. 26.True or false: “recorded spoken words” is the model. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) old emails marked spam (d) flagging a new email
29. 29.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) what training builds
30. 30.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
31. 31.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.⏩ 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
35. 35.True or false: “recorded spoken words” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
39. 39.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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