AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 94 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
2. 2.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
3. 3.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
5. 5.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) what training builds
6. 6.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) naming a new leaf (d) old emails marked spam
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
8. 8.True or false: “old emails marked spam” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
12. 12.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) what training builds (d) 500 labelled leaf photos
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
15. 15.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
16. 16.⏩ 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
17. 17.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
22. 22.⏩ 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
23. 23.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
24. 24.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
26. 26.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
27. 27.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
29. 29.Which of these is a prediction? (a) past weather records (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
30. 30.True or false: “past weather records” is training data. (a) False (b) True
31. 31.True or false: “what training builds” is the model. (a) False (b) True
32. 32.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
33. 33.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
35. 35.True or false: “the trained program” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “old emails marked spam” is training data. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction

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