AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 379 · 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.Which of these is training data? (a) what training builds (b) naming a new leaf (c) tomorrow’s rain guess (d) 500 labelled leaf photos
2. 2.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) tomorrow’s rain guess
3. 3.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
4. 4.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
8. 8.True or false: “old emails marked spam” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
10. 10.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
11. 11.Which of these is the model? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) past weather records
12. 12.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
15. 15.True or false: “what training builds” is training data. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) what training builds (d) past weather records
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
21. 21.True or false: “old emails marked spam” is a prediction. (a) True (b) False
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
24. 24.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) labelled fruit photos (d) recorded spoken words
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
27. 27.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) old emails marked spam
28. 28.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the trained program (d) the learned patterns
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
30. 30.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
31. 31.True or false: “past weather records” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
33. 33.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
34. 34.True or false: “old emails marked spam” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “typing a new spoken word” is the model. (a) False (b) True
39. 39.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
40. 40.True or false: “the learned patterns” is the model. (a) True (b) False

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