AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 287 · 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: “what training builds” is a prediction. (a) False (b) True
2. 2.True or false: “naming a new leaf” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
5. 5.True or false: “recorded spoken words” is the model. (a) False (b) True
6. 6.⏩ 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
7. 7.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
9. 9.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
11. 11.True or false: “the trained program” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
14. 14.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
15. 15.True or false: “naming a new fruit photo” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) recorded spoken words (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
21. 21.True or false: “flagging a new email” is the model. (a) True (b) False
22. 22.True or false: “typing a new spoken word” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
26. 26.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
27. 27.True or false: “naming a new fruit photo” is the model. (a) False (b) True
28. 28.True or false: “what training builds” is the model. (a) True (b) False
29. 29.True or false: “flagging a new email” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
32. 32.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
38. 38.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
39. 39.True or false: “the learned patterns” is the model. (a) True (b) False
40. 40.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos

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