AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 638 · 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) the learned patterns (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
4. 4.🔮 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
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
6. 6.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
7. 7.True or false: “past weather records” is the model. (a) True (b) False
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
9. 9.⏩ 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
10. 10.Which of these is the model? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) naming a new leaf
11. 11.True or false: “the trained program” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
13. 13.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
18. 18.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
19. 19.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
21. 21.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) flagging a new email
22. 22.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
24. 24.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
25. 25.True or false: “old emails marked spam” is training data. (a) False (b) True
26. 26.True or false: “recorded spoken words” is the model. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
31. 31.True or false: “what training builds” is a prediction. (a) True (b) False
32. 32.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
38. 38.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model

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