AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 200 · 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: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
6. 6.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
7. 7.True or false: “past weather records” is training data. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
9. 9.Which of these is training data? (a) what training builds (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
10. 10.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the trained program
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
12. 12.True or false: “past weather records” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
15. 15.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
16. 16.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
17. 17.⏩ 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
18. 18.True or false: “old emails marked spam” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “the trained program” is the model. (a) True (b) False
21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
22. 22.Which of these is training data? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) the trained program
23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
24. 24.True or false: “labelled fruit photos” is the model. (a) True (b) False
25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
27. 27.⏩ 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
28. 28.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
29. 29.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new leaf (d) the trained program
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
32. 32.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
33. 33.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
40. 40.True or false: “500 labelled leaf photos” is the model. (a) True (b) False

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