AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 231 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
2. 2.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) tomorrow’s rain guess
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) the trained program (d) old emails marked spam
7. 7.True or false: “what training builds” is the model. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
9. 9.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “typing a new spoken word” is training data. (a) True (b) False
12. 12.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is training data? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) flagging a new email
16. 16.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
17. 17.True or false: “the trained program” is the model. (a) True (b) False
18. 18.True or false: “recorded spoken words” is a prediction. (a) False (b) True
19. 19.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new leaf
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
21. 21.⏩ 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
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
24. 24.True or false: “recorded spoken words” is the model. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
26. 26.True or false: “naming a new leaf” is a prediction. (a) False (b) True
27. 27.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) old emails marked spam (d) labelled fruit photos
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) recorded spoken words
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “flagging a new email” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
35. 35.⏩ 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
36. 36.True or false: “the learned patterns” is training data. (a) False (b) True
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
39. 39.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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