AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 959 · 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) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
2. 2.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
9. 9.True or false: “labelled fruit photos” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
11. 11.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
13. 13.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
14. 14.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
15. 15.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
16. 16.True or false: “the trained program” is the model. (a) False (b) True
17. 17.Which of these is the model? (a) flagging a new email (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
21. 21.True or false: “typing a new spoken word” is the model. (a) False (b) True
22. 22.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) flagging a new email
23. 23.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
25. 25.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) naming a new fruit photo
26. 26.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) tomorrow’s rain guess
27. 27.Which of these is a prediction? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
28. 28.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
31. 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
32. 32.True or false: “flagging a new email” is training data. (a) True (b) False
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
35. 35.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
36. 36.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

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