AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 982 · 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: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
2. 2.True or false: “labelled fruit photos” is the model. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
5. 5.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
7. 7.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) labelled fruit photos
10. 10.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) what training builds (d) the trained program
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
16. 16.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
17. 17.Which of these is training data? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
18. 18.True or false: “naming a new leaf” is a prediction. (a) True (b) False
19. 19.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) old emails marked spam
20. 20.True or false: “old emails marked spam” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) tomorrow’s rain guess
22. 22.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
23. 23.True or false: “labelled fruit photos” is training data. (a) True (b) False
24. 24.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
26. 26.True or false: “the learned patterns” is training data. (a) True (b) False
27. 27.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
28. 28.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
29. 29.⏩ 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
30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new fruit photo (d) the trained program
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
33. 33.True or false: “the learned patterns” is the model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
35. 35.Which of these is a prediction? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “recorded spoken words” is training data. (a) False (b) True
38. 38.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) the learned patterns
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) 500 labelled leaf photos (d) flagging a new email
40. 40.True or false: “typing a new spoken word” is the model. (a) False (b) True

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