AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 460 · 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.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
2. 2.True or false: “recorded spoken words” is training data. (a) False (b) True
3. 3.True or false: “the learned patterns” is the model. (a) False (b) True
4. 4.True or false: “the trained program” is a prediction. (a) True (b) False
5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
8. 8.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) naming a new leaf
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
14. 14.🧪 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
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: “naming a new leaf” is training data. (a) False (b) True
17. 17.True or false: “what training builds” is a prediction. (a) False (b) True
18. 18.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) flagging a new email (d) what training builds
19. 19.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
20. 20.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) the learned patterns (d) what training builds
21. 21.True or false: “the learned patterns” is a prediction. (a) False (b) True
22. 22.⏩ 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
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
24. 24.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) flagging a new email
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
26. 26.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
29. 29.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
31. 31.⏩ 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
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
33. 33.True or false: “old emails marked spam” is the model. (a) False (b) True
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.True or false: “flagging a new email” is training data. (a) False (b) True
36. 36.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) typing a new spoken word
37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
39. 39.Which of these is the model? (a) past weather records (b) what training builds (c) flagging a new email (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess

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