AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 445 · 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: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
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: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
7. 7.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
8. 8.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) old emails marked spam (d) typing a new spoken word
9. 9.🧪 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
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
11. 11.🔮 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
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) old emails marked spam
13. 13.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
14. 14.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) what training builds
15. 15.⏩ 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
16. 16.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
17. 17.⏩ 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
18. 18.True or false: “the learned patterns” is the model. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
21. 21.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
26. 26.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
28. 28.True or false: “flagging a new email” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
30. 30.True or false: “typing a new spoken word” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
32. 32.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
33. 33.⏩ 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
34. 34.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “naming a new leaf” is training data. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
40. 40.True or false: “old emails marked spam” is the model. (a) False (b) True

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