AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 786 · 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: “old emails marked spam”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) what training builds (d) naming a new leaf
3. 3.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
5. 5.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
6. 6.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) naming a new fruit photo
7. 7.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
8. 8.🔮 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
9. 9.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
10. 10.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) recorded spoken words
11. 11.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
12. 12.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
15. 15.True or false: “the trained program” is training data. (a) True (b) False
16. 16.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
19. 19.True or false: “recorded spoken words” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
24. 24.True or false: “the trained program” is a prediction. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
28. 28.⏩ 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
29. 29.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) past weather records
30. 30.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) labelled fruit photos
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
33. 33.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
34. 34.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) past weather records (d) the trained program
35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) recorded spoken words
36. 36.True or false: “what training builds” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
38. 38.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
39. 39.True or false: “the trained program” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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