AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 274 · 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.True or false: “naming a new leaf” is the model. (a) True (b) False
2. 2.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
3. 3.True or false: “what training builds” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
5. 5.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
8. 8.True or false: “the learned patterns” is the model. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
11. 11.True or false: “past weather records” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
15. 15.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
16. 16.Which of these is training data? (a) the trained program (b) the learned patterns (c) labelled fruit photos (d) naming a new fruit photo
17. 17.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) past weather records (d) typing a new spoken word
18. 18.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
19. 19.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
20. 20.Which of these is the model? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) flagging a new email
21. 21.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
22. 22.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) labelled fruit photos (d) the trained program
23. 23.True or false: “flagging a new email” is the model. (a) True (b) False
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) old emails marked spam (d) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
26. 26.True or false: “the learned patterns” is a prediction. (a) False (b) True
27. 27.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
28. 28.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
29. 29.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
30. 30.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
32. 32.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
36. 36.True or false: “typing a new spoken word” is the model. (a) True (b) False
37. 37.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new leaf (d) naming a new fruit photo
38. 38.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
39. 39.True or false: “the trained program” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds

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