AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 533 · 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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
2. 2.⏩ 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
3. 3.True or false: “labelled fruit photos” is training data. (a) True (b) False
4. 4.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
7. 7.Which of these is training data? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
11. 11.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
12. 12.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
13. 13.True or false: “what training builds” is a prediction. (a) True (b) False
14. 14.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
15. 15.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
18. 18.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
21. 21.True or false: “naming a new leaf” is training data. (a) False (b) True
22. 22.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) past weather records (d) flagging a new email
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
26. 26.True or false: “flagging a new email” is the model. (a) True (b) False
27. 27.True or false: “typing a new spoken word” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
30. 30.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
31. 31.True or false: “the trained program” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
33. 33.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) naming a new fruit photo (d) labelled fruit photos
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new leaf (d) what training builds
35. 35.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
37. 37.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
38. 38.True or false: “what training builds” is training data. (a) True (b) False
39. 39.Which of these is training data? (a) what training builds (b) the learned patterns (c) flagging a new email (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words

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