AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 779 · 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 the model? (a) recorded spoken words (b) what training builds (c) old emails marked spam (d) typing a new spoken word
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 fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
4. 4.🧪 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
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
8. 8.Which of these is training data? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) what training builds
9. 9.⏩ 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
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.True or false: “flagging a new email” is training data. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
14. 14.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) the trained program (d) old emails marked spam
15. 15.True or false: “flagging a new email” is a prediction. (a) False (b) True
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) the learned patterns (d) typing a new spoken word
17. 17.⏩ 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
18. 18.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.Which of these is training data? (a) the learned patterns (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
21. 21.⏩ 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
22. 22.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) 500 labelled leaf photos (d) old emails marked spam
23. 23.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
24. 24.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
29. 29.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
31. 31.True or false: “labelled fruit photos” is the model. (a) False (b) True
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
33. 33.True or false: “the trained program” is training data. (a) True (b) False
34. 34.True or false: “what training builds” is a prediction. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
36. 36.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) the learned patterns (d) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
38. 38.🔮 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
39. 39.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model

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