AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 173 · 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 a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
3. 3.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) past weather records (d) what training builds
4. 4.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) 500 labelled leaf photos
5. 5.⏩ 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
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) old emails marked spam
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
9. 9.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “recorded spoken words” is the model. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
16. 16.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
17. 17.True or false: “the learned patterns” is a prediction. (a) False (b) True
18. 18.True or false: “typing a new spoken word” is the model. (a) True (b) False
19. 19.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) 500 labelled leaf photos
20. 20.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
23. 23.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
24. 24.True or false: “the trained program” is the model. (a) True (b) False
25. 25.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
26. 26.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) naming a new leaf
27. 27.⏩ 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
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “old emails marked spam” is the model. (a) True (b) False
30. 30.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) the trained program (d) old emails marked spam
31. 31.True or false: “labelled fruit photos” is the model. (a) True (b) False
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
34. 34.⏩ 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
35. 35.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
37. 37.⏩ 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
38. 38.True or false: “recorded spoken words” is training data. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
40. 40.True or false: “500 labelled leaf photos” is the model. (a) False (b) True

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