AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 864 · 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 fruit photo”? (a) training data (b) a prediction (c) the model
2. 2.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
5. 5.True or false: “typing a new spoken word” is the model. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
7. 7.True or false: “naming a new fruit photo” is training data. (a) True (b) False
8. 8.True or false: “past weather records” is training data. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “what training builds” is training data. (a) True (b) False
12. 12.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
15. 15.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
16. 16.⏩ 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
17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
18. 18.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) flagging a new email
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
22. 22.True or false: “flagging a new email” is the model. (a) True (b) False
23. 23.True or false: “the trained program” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
28. 28.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
29. 29.True or false: “old emails marked spam” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
32. 32.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) 500 labelled leaf photos (d) past weather records
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
35. 35.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
36. 36.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
39. 39.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) labelled fruit photos (d) old emails marked spam
40. 40.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos

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