AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 916 · 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) typing a new spoken word (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
2. 2.⏩ 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
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) 500 labelled leaf photos (d) flagging a new email
8. 8.⏩ 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
9. 9.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) naming a new fruit photo (d) what training builds
10. 10.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
11. 11.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
13. 13.True or false: “naming a new fruit photo” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
16. 16.True or false: “the trained program” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is the model? (a) naming a new leaf (b) what training builds (c) past weather records (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
21. 21.🧪 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
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new fruit photo
24. 24.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
26. 26.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
28. 28.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
29. 29.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) the trained program (d) typing a new spoken word
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
31. 31.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
32. 32.True or false: “typing a new spoken word” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
35. 35.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) naming a new leaf
36. 36.⏩ 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
37. 37.True or false: “the learned patterns” is training data. (a) False (b) True
38. 38.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
40. 40.True or false: “old emails marked spam” is training data. (a) False (b) True

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