AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 93 · 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: “old emails marked spam” is a prediction. (a) True (b) False
2. 2.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
4. 4.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) typing a new spoken word (d) what training builds
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
6. 6.True or false: “naming a new leaf” is a prediction. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
8. 8.True or false: “what training builds” is the model. (a) False (b) True
9. 9.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
11. 11.Which of these is training data? (a) flagging a new email (b) what training builds (c) the trained program (d) recorded spoken words
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) old emails marked spam (d) naming a new leaf
17. 17.⏩ 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
18. 18.True or false: “what training builds” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
20. 20.True or false: “naming a new fruit photo” is training data. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
25. 25.True or false: “flagging a new email” is a prediction. (a) True (b) False
26. 26.True or false: “the learned patterns” is the model. (a) True (b) False
27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “the learned patterns” is a prediction. (a) True (b) False
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.⏩ 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
34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
35. 35.Which of these is training data? (a) the learned patterns (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
36. 36.True or false: “old emails marked spam” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
38. 38.True or false: “flagging a new email” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
40. 40.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) what training builds

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