AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 263 · 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.True or false: “old emails marked spam” is the model. (a) False (b) True
2. 2.⏩ 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
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
4. 4.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
5. 5.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
6. 6.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) typing a new spoken word (d) 500 labelled leaf photos
7. 7.Which of these is the model? (a) the trained program (b) recorded spoken words (c) flagging a new email (d) 500 labelled leaf photos
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) recorded spoken words
11. 11.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
12. 12.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) what training builds (d) recorded spoken words
13. 13.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
17. 17.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
19. 19.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
21. 21.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
29. 29.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
30. 30.Which of these is training data? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
31. 31.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) tomorrow’s rain guess
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) labelled fruit photos (d) what training builds
36. 36.True or false: “past weather records” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
38. 38.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
39. 39.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
40. 40.🧪 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

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