AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 772 · 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) naming a new leaf (b) labelled fruit photos (c) what training builds (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
3. 3.True or false: “recorded spoken words” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
5. 5.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
6. 6.True or false: “old emails marked spam” is training data. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
12. 12.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
15. 15.True or false: “recorded spoken words” is a prediction. (a) True (b) False
16. 16.True or false: “past weather records” is a prediction. (a) True (b) False
17. 17.True or false: “flagging a new email” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
19. 19.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
20. 20.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) recorded spoken words
21. 21.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
22. 22.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
23. 23.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
26. 26.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
27. 27.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) naming a new leaf
28. 28.Which of these is training data? (a) what training builds (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
30. 30.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
31. 31.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) typing a new spoken word
32. 32.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
33. 33.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “past weather records” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
37. 37.True or false: “naming a new fruit photo” is the model. (a) True (b) False
38. 38.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) 500 labelled leaf photos
39. 39.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data

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