AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 467 · 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.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
3. 3.True or false: “typing a new spoken word” is training data. (a) True (b) False
4. 4.Which of these is training data? (a) the learned patterns (b) the trained program (c) labelled fruit photos (d) what training builds
5. 5.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
11. 11.⏩ 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
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
16. 16.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
17. 17.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
18. 18.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
19. 19.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) what training builds
20. 20.True or false: “labelled fruit photos” is the model. (a) False (b) True
21. 21.True or false: “naming a new fruit photo” is training data. (a) False (b) True
22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
23. 23.True or false: “the learned patterns” is the model. (a) False (b) True
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) old emails marked spam (d) what training builds
26. 26.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
27. 27.⏩ 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
28. 28.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) naming a new fruit photo
29. 29.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
31. 31.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) flagging a new email (d) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
38. 38.True or false: “naming a new fruit photo” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos

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