AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 832 · 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.🧪 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
2. 2.True or false: “labelled fruit photos” is training data. (a) False (b) True
3. 3.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
4. 4.⏩ 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
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
6. 6.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
9. 9.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new fruit photo (d) old emails marked spam
10. 10.True or false: “recorded spoken words” is training data. (a) True (b) False
11. 11.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
14. 14.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
15. 15.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
16. 16.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
17. 17.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
20. 20.⏩ 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
21. 21.True or false: “the trained program” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
23. 23.True or false: “naming a new leaf” is training data. (a) True (b) False
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
25. 25.True or false: “naming a new leaf” is a prediction. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
27. 27.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
30. 30.True or false: “flagging a new email” is the model. (a) False (b) True
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
37. 37.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
38. 38.True or false: “naming a new leaf” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
40. 40.Which of these is training data? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) typing a new spoken word

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