AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 369 · 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 leaf”? (a) the model (b) a prediction (c) training data
2. 2.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
3. 3.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
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.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) old emails marked spam (d) what training builds
6. 6.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) what training builds (d) naming a new leaf
7. 7.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
10. 10.⏩ 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
11. 11.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
12. 12.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
13. 13.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) the learned patterns
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “flagging a new email” is the model. (a) False (b) True
17. 17.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) the trained program (d) old emails marked spam
18. 18.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) typing a new spoken word (d) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.True or false: “labelled fruit photos” is the model. (a) True (b) False
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
22. 22.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
23. 23.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) flagging a new email
24. 24.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
25. 25.True or false: “typing a new spoken word” is training data. (a) False (b) True
26. 26.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
31. 31.True or false: “past weather records” is the model. (a) True (b) False
32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
34. 34.⏩ 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
35. 35.True or false: “what training builds” is training data. (a) False (b) True
36. 36.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “naming a new fruit photo” is training data. (a) True (b) False

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